Renewable Energy Sources (RES) Grid Integration: Key Issues and Challenges Bharat Singh Indian Institute of Technology Mandi Outline Grid connection issues Economic issues System Operational Aspects Reasons for Renewable Energy in India why and why now?? Declining Fossil Fuel Supplies Environmental* Concerns (Kyoto Protocol,1997) Increasing Cost of Fossil Fuels Business Opportunities Energy Security Energy independence 1 MW of wind plant in one year can displace 1500 tons of CO2, 6.5 tons of SO2 and 3.2 tons of NOx. (REPP report, Washington July 2003) Introduction Huge power shortages in the range of 3% to 21% in States with national average energy shortage of about 10.3% and peak demand shortage of 15.4%. Renewable energy technologies have a good potential in India. Substantial efforts have been made to harness the non-conventional and renewable sources of energy during the last three decades. The vision of Indian renewable energy program is “to develop new and renewable energy technologies, processes, materials, components, sub-systems, products and services at par with international specifications, standards and performance parameters in order to make the country a net foreign exchange earner in the sector and deploy such indigenously developed and/or manufactured products and services in furtherance of the national goal of energy security”. Introduction In 1981, the Government of India (GOI) established a Commission for Additional Sources of Energy (CASE) under the Department of Science and Technology (DST). In 1982, the commission was given full status of a department called as Department of Non-conventional Energy Sources (DNES) and put at par with other energy departments, such as coal and power. Finally, in 1992, the GOI upgraded the department to a full-fledged ministry known as Ministry of Nonconventional Energy Sources (MNES) exclusively devoted to the renewable energy promotion. MNES is renamed as Ministry of New and 5 Renewable Energy (MNRE) in 2006. Introduction The MNRE efforts have been identified in following four areas: Power generation from renewable Grid-interactive renewable power (Wind Power, Small Hydro Power (SHP), Biomass Power, Urban & Industrial Waste-toenergy and Solar Power), Captive/CHP/Distributed Renewable Power (such as Biomass/Cogeneration, Biomass Gasifier, Waste-to- energy, Aero-generator/Hybrid Systems) Rural & Decentralized Energy System (such as Familytype Biogas Plants, Home Lighting System, Solar Photovoltaic (SPV)/Thermal Program, Wind Pumps) Remote Village Electrification Other programs (such as Energy Parks, Akshay Urja Shops and Hybrid Vehicles, Geothermal and Tidal) 6 Renewable Energy Development in India Government of India has created conducive environment for speedy development of RES and to attract private investors by providing Subsidy and fiscal incentives, policies support, regulatory & legislative framework, finances, consultancy services, research design & development, up-gradation of existing technologies, and, planning & resource assessment. Government is a catalyst and facilitator, however, the implementation is being carried out by the States or by the private sector. Several States have so far announced promotional policies 7 for RES. All India Installed Capacity (on 30.06.09) S. No. Fuel Share Percentage (in MW) (%) 1 Total Thermal Coal Gas Oil 96044 78459 16385 1200 63 2 Hydro 36917 25 3 Renewable* 13878 9 4 Nuclear 4120 3 Total 150810 3% 63% 100 25% 9% HYDRO THERMAL RENEWABLES NUCLEAR 8 * 348 MW Captive/CHP/Distributed Renewable power Indian Power System - Present All figs. in MW I.C-36500 PD- 31500 Deficit- 5000 I.C-2570 PD- 1470 Deficit- 300 Trans. Grid Comprises: •765/400kV Lines: 77500 ckt-km •220/132kV Lines:114600 ckt-km •HVDC bi-poles : 3 nos. •HVDC back-to-back : 7 nos. I.C-18750 PD- 10400 Surplus- 5000 (incl Talcher) I.C-37500 PD- 36500 Deficit- 9000 I.C-34580 PD- 26000 Deficit-3800 •FSC – 18 nos.; TCSC – 6 nos. NER, ER, NR & WR operating as single grid of 90,000MW Inter-regional capacity: 14600 MW Est. Potential and Achievement of RES (as on 31.03.11) S. No. Sources/Systems I. Power Generation from Renewable Grid-interactive Renewable Power 1 Wind Power 2 Biomass Power (Agro residues) 3 4 5 6 1 2 3 4 5 1 2 3 4 5 6 1 2 3 4 5 Small Hydro Power (up to 25 MW) Cogeneration Bagasse Waste-to-energy Solar Power Captive/CHP/Distributed Renewable Power Biomass Power/ Cogeneration(non-bagasse) Biomass Gasifier Waste-to-energy Solar PV Power Plants & Street lights Aero-generators/Hybrid Systems Total II. Electrification III. Rural Decentralized Energy Systems Family-type Biogas Plant Est. Potential Achievements 45195 MW 16881 MW 14756 MW 1000 MW 15000 MW 5000 MW 2700 MW 3042 MW 1667 MW 70 MW 37 MW 153 MW 160 MW 31 MW 3 MW 1 MW 19774 MW 4254 villages + 1156 hamlets Numbers 4090000 Home Lighting System Solar Lantern SPV Pumps Solar Cookers Wind Pumps IV. Other programs Energy Parks Akshay Urja Shops Hybrid Vehicles Geothermal Energy Tidal Energy 434692 10000 MW 10000 MW 697419 7148 63700 1347 Numbers 504 289 270 --- Specialized Centers/Institutes Centre of Wind Energy Technology (CWET), Chennai, established in 1982, to serves as the technical focal point for wind power development. Solar Energy Centre (SEC), Gurgaon, established in 1982, is a dedicated unit of the MNRE for development of solar energy technologies and serves as an effective interface between the Government and user organizations. Alternate Hydro Energy Centre (AHEC), Roorkee, was established in 1982, to promote SHP projects & other renewable energy sources e.g. biomass, solar, wind, etc. Sardar Swaran Singh - National Institute of Renewable Energy, Kaputhala, is being established for development of bio-energy, including bio-fuels, and synthetic fuels. Indian Renewable Energy Development Agency Limited (IREDA), New Delhi, established in 1987, promotes and finances renewable 11 energy and energy efficiency/ conservation. Jawaharlal Nehru National Solar Mission To create an enabling policy framework for the deployment of 20,000 MW of solar power by 2022. To ramp up capacity of grid-connected solar power generation to 1000 MW within three years – by 2013; an additional 3000 MW by 2017 through the mandatory use of the renewable purchase obligation by utilities backed with a preferential tariff. This capacity can be more than doubled – reaching 10,000MW installed power by 2017 or more, based on the enhanced and enabled international finance and technology transfer. The ambitious target for 2022 of 20,000 MW or more, will be dependent on the ‘learning’ of the first two phases, which if successful, could lead to conditions of gridcompetitive solar power. Jawaharlal Nehru National Solar Mission To create favourable conditions for solar manufacturing capability, particularly solar thermal for indigenous production and market leadership. To promote programs for off grid applications, reaching 1000 MW by 2017 and 2000 MW by 2022. To achieve 15 million square meters solar thermal collector area by 2017 and 20 million square meters solar thermal collector area by 2022. To deploy 20 million solar lighting systems for rural areas by 2022. CERC has announced preferential tariff of Rs. 18.44 per unit for solar PV power and Rs. 13.45 per unit for solar thermal power for 25 years; Tariff Policy The Electricity Act 2003 has paved the way for setting up of State Electricity Regulatory Commissions (SERCs) for providing conducive atmosphere for the rapid development of power generation including renewable energy. The National Tariff Policy that was notified by the Ministry of Power in January 2006, in continuation with the Electricity Act 2003. The National Electricity Policy 2005 stipulates the progressive of electricity generation from non-conventional sources. Setting renewable energy targets and preferential feed-in tariffs for renewable energy procurement by the respective SERC. Several SERCs in turn, provided concessional feed-in tariffs (mostly decided by cost-based approach), wheeling, banking of 14 energy for future use, third party sale and power evacuation facilities. Preferential Tariffs/Policy Announced by the SERC’s for Wind/Biomass/SHP Sources Items Wind Wheeling Charges States Banking Buy-back (INR/kWh) Wheeling Charges Biomass/Cogeneration Banking SHP Buy-back (INR/kWh) 2.63 2.69 Andhra Pradesh 2% of energy 12 Months 3.37 28.4 % + INR 0.5 kWh Chhattisgarh Gujrat Haryana HP Karnataka -4% of energy 2% of energy -2% of energy --Allowed -2% /Month for 12 Month -3.37 fixed for 20 yrs. 4.08 + Escalation 1.5% -3.40 fixed for 10 years 6 % of energy 4 % of energy 2 % of energy -5% surcharge Not Allowed Allowed Allowed -Allowed at 2% INR 1.13/kWh 2.67 3.0 4.0 -2.27 --2.25 2.50 2.90 Kerala 5% of energy 9 Months (Jun.–Feb.) 3.14 fixed for 20 years 5% of energy Allowed 4 Months 2.80 -- Maharastra 2% of energy +5%trans.loss 12 Months 3.50 + Escalation of 0.15 for 13 years from documentation of the project 7% of energy Allowed 3.05 2.25 Madhya Pradesh 2% of energy Not allowed 3.97 (with decrease of 0.7 upto 4th yr ) then fixed at 3.30 from 5th yr onwards uniformly for 20 years -- Allowed 3.33 2.25 Punjab -- -- -- 2% of energy Allowed12 Months 3.59 2.73 Rajasthan 10% of energy 3 Months 3.59 for Jaisalmer, Jodhpur etc. and 3.67 for other districts 10% of energy Allowed 12 Months 3.60 2.75 Tamil Nadu 5% of energy 5% 12 months 2.90 (Levelised) 2-10% Allowed at 2% charge 2.73 -- -- -- -- 12.5% of energy Allowed 24 Months 2.67 2.25 INR 0.3/kWh 6 Months To be decided on case to case with a cap of 4 -- -- -- -- Uttar Pradesh West-Bengal Allowed at 2% for 8-12 Buy-back (INR/kWh) Open access transaction is allowed in all States. Third party sale is allowed in case of wind in all States. RPS is announced in each State Incentives/Promotion Policies The MNRE has been providing capital subsidy as Central Financial Assistance (CFA), depending on type and the size of the plants, and category of institutions and areas to promote RES. S. No. Sources/Systems Central Financial Assistance (in INR) 1 2 Wind Power Biomass Power (Agro- residues) Special Category States Other States (NE region, , J&K, HP and Uttaranchal) 3 × MF 2.5 × MF 0.25 × MF 0.20 × MF 3(i) 3(ii) Small Hydro Power (up to 25 MW) Renovation and Modernization of SHP Biomass Power using Advanced Technologies Cogeneration Bagasse (Private) 40 bar & above Cogeneration Bagasse (Public/joint) 40 bar & above 60 bar & above 80 bar & above 4 5 6 7 Waste-to-energy 2.2 × MF 1.125 × MF 1.5 × MF 0.75 × MF 1.2 × MF 1.0 × MF 0.18 × MF 15 × MF 0.40 × MF 0.50 × MF 0.60 × MF 0.40 × MF 0.50× MF 0.60 × MF 20% higher than other States MF = 107 × C0.646, C = Capacity of the project in MW (0.50-1.0)×107 Incentives/Promotion Policies Besides the CFA, fiscal incentives such as 80% accelerated depreciation, concessional import duty, excise duty, tax holiday for several years, etc., are available for RES. Item Accelerated Depreciation Description 80% depreciation in the first year can be claimed for the following equipment: for Wind: Extra 20% after March 2005 for new plant & machinery for Cogeneration Systems: 1.Back pressure, pass-out, controlled extraction, extraction–cumcondensing turbine for co-generation with pressure boilers 2.Vapour absorption refrigeration systems 3.Organic Rankine cycle power systems 4.Low inlet pressures small steam turbines Tax Ten years tax holidays. Customs Duty Concessional customs and excise duty exemption for machinery and components for initial setting up of projects. Sales Tax Exemption is available in certain States Grid Connection Issues Technical guidelines and requirements for RES are varying with one State to other States and not good enough for the large RES integration into the grid. In order to promote RES and to maintain common grid discipline there is an urgent need of a specific and common grid code for RES in India Grid Connection Issues Grid connection requirements: Intermittency • • • • Active power/ Frequency Regulation Reactive power/Voltage Control Fault-ride through capability Scheduling/Dispatch/Forecasting Grid connectivity or evacuation of energy: • • Remote areas, augmentation of existing power transmission lines or new lines Interconnection point Wind Power What is Wind Power Wind turbines extract the kinetic energy from the wind and converts into generator torque. Generator converts this torque into electricity and feeds into the grid Power in the Wind Kinetic Energy = Work = ½mV2 where: m= mass of moving object V = velocity of wind What is the mass of moving air? = density (ρ) x volume (Area x distance) = ρ x A x d Power = Kinetic Energy / t = ½ρAV3 A V d Wind Power Status (Jan. 2011) The total installed wind power capacity is 195 GW China USA Germany Spain India (45 GW) (40 GW) (27 GW) (20 GW) (14 GW) Estimated Wind Power Potential in India State Gross Potential (MW) Andhra Pradesh 9063 Gujarat 7362 Karnataka 7161 Kerala 1026 Madhya Pradesh 4978 Maharashtra 4519 Orissa 1520 Rajasthan 6672 Tamil Nadu 4159 West Bengal 32 TOTAL 46092 The wind power potential on macro level based data collected from 10 states considering only 1% of land availability is around 46092 MW. Government Support for RES With different policies such as tax holiday etc Regulatory & legislative framework Subsidy and fiscal incentives Finances and consultancy services Research design & development Planning & resource assessment Indian Scenario for Wind power Wind potential 46 GW, WT manufacturers claim double Concentration in few regions only Installed capacity has exceeded 10% in many states and increasing with high rate Specific nationally harmonised GCR for wind power are in urgent need Existing Situation Each State has different requirements for grid integration Mostly power factor is specified & maintained at PCC PCC is highly disputed among states and wind farm developers No active grid support requirement is specified Indian Perspective plan 2022 REPORT OF THE WORKING GROUP on, “NEW AND RENEWABLE ENERGY” for XIth FIVE YEAR PLAN (2007-12) Global Growth of Wind Power Annual Installed Capacity Cumulative Installed Capacity INTRODUCTION Conventional power plants Large synchronous machines Provides primary & secondary control Meet the specific grid connection requirements (GCR) With increased penetration of wind power Mostly converter interfaced small asynchronous generators, Poses new challenges in maintaining reliability and stability of electricity supply, Advanced GCR are required to be developed for efficient, stable and secure operation of grid , Loss of generation cannot be tolerable, wind turbines should remain connected and actively support the grid, Need to perform suitable studies to analyze the interaction of wind power with existing grid, Need to develop several solutions to improve and mitigate negative consequences on the existing grid, if any. WIND ENERGY CONVERSION SCHEME GENERATOR SYSTEMS FOR WIND TURBINES Fixed speed A reactive power compensator is needed to control the voltage Poor power quality Gearbox torque is of concern Robust and maintainece free Reduced cost GENERATOR SYSTEMS FOR WIND TURBINES Variable speed converter interfaced generators Contorlabiltiy over active and reactive power High energy efficiecny Improved Power Quality More expensive More complex system with more sensitive electronic parts DFIG is most popular scheme Reduced Power Converter Rating Reduced Losses Reduced EMI filters Reduced cost GENERATOR SYSTEMS FOR WIND TURBINES Wind turbine power Power from a wind turbine rotor = Cp½ρAV3 • Cp is called the power coefficient • Cp is the percentage of power in the wind that is converted into mechanical energy • Cp, max = 0.5926 (Betz limit) Power coefficient varies with tip speed ratio λ= rω vw Maximum power extraction can be realized with a speed variable system By measuring the wind velocity and adjust the turbine rotating speed to keep the power coefficient Cp at its maximum value Grid Code Requirement’s Issued by TSO’s Country TSO Author Title Issue Year Denmark Eltra/Elkraft Eltra/Elkraft Regulation TF 3.2.5, Wind turbines connected to grids with voltages above 100 kV 2004 Denmark Eltra/Elkraft Eltra/Elkraft Regulation TF 3.2.5, Wind turbines connected to grids with voltages below 100 kV 2004 Germany E.ON. E.ON. Grid Code High and Extra High Voltage 2006 U.K. NGET NGET Grid Code 2008 Sweden Svenska Kraftnät (SvK) Svenska Kraftnät (SvK) Affärsverket svenska kraftnäts föreskrifter och allmänna radom driftsäkerhetsteknisk utformning avproduktionsanläggningar 2005 Ireland EirGrid EirGrid EirGrid Grid Code: WFPS1- Wind Farm Power Station Grid Code Provisions (Ver. 3) 2007 Scotland Scottish Electric Guidance note for the connection of wind farm 2002 China ALL CEPRI Technical Rules for Connecting Wind Farm to Power System 2005 FERC FERC Order No. 661-A, Interconnection for Wind Energy 2005 PSE INSTRUKCJA RUCHU I EKSPLOATACJI SIECI PRZESYŁOWEJ 2006 U.S.A. Poland PSE Hydro Scottish Electric Hydro GCR CONNECTION REQUIREMENTS Active Power Control Frequency Control Voltage Control Wind Farm Protection (Fault-ride through) 34 INDIAN ELECTRICITY GRID CODE FOR WIND FARMS (IEGCWF) IEGCWF must be read in conjunction with Indian electricity grid code (IEGC), Technical standards for connectivity to the grid, regulations 2007, and State electricity grid codes issued by respective states of India. It must also be emphasized, that all capabilities will not be exploited in all wind turbines at all times. Connection codes shall provide the capabilities and characteristics of system components are available when ever needed for safe and reliable system operation. All requirements are to be met at the connection point. Connection point can be defined as a point in the transmission network, to which the wind turbine or wind farm is to be connected. INDIAN ELECTRICITY GRID CODE FOR WIND FARMS (IEGCWF) It is assumed that wind power is fed into the grid when and where available on priority basis It is assumed that wind power is remunerated for active power by fixed price in respective States and for reactive power according to Section 6.6 of IEGC The Beneficiary pays for VAr drawl when voltage at the metering point is below 97% The Beneficiary gets paid for VAr return when voltage is below 97% The Beneficiary gets paid for VAr drawl when voltage is above 103% The Beneficiary pays for VAr return when voltage is above 103% ACTIVE POWER CONTROL Active Power Control is a requirement for generating units to be able to deliver power and remain connected to the network even if the system frequency deviates from specified one An adjustable upper limit to the active power production from the wind farm shall be available whenever the wind farm is in operation The upper limit shall control that the active power production, measured as a 15 minute average value, does not exceed a specified level and the limit shall be adjustable by remote signals. It must be possible to set the limit to any value with an accuracy of ±5%, in the range from 20% to 100% of the wind farm rated power. Ramping control of active power production must be possible. Limit on ramping speed of active power production from the wind turbine in upwards direction to 10 % of rated power per minute. No requirement for down ramping due to fast wind speed decays, but to limit the down ramping speed to 10 % of rated power per minute, when the maximum power output limit is reduced by a control action. ACTIVE POWER CONTROL Fast down regulation. It must be possible to regulate the active power from the wind turbine down from 100% to 20% of rated power in less than 5 seconds. This functionality is required for system protection schemes. Some system protection schemes implemented for stability purposes require the active power to be restored within short time after down regulation. For that reason disconnection of a number of wind turbines within a wind farm cannot be used to fulfill this requirement. Frequency control. Automatic control of the wind turbine active production as a function of the system frequency must be possible. The control function must be proportional to frequency deviations and must be provided with a dead-band as shown earlier. The detailed settings will be provided by the respective State utilities. REACTIVE POWER (OR VOLTAGE)CONTROL Voltage control is a requirement for generating units to supply lagging/leading reactive power at the grid connection point. Wind turbine should be capable of supplying a proportion of the systems reactive capacity, including the dynamic capability and should contribute to maintain the reactive power balance. Requirements of the grid codes for reactive power capability demand that the power factor be maintained in the specified range. The wind farm must have adequate reactive capacity to be able to be operated with zero reactive exchange with the network measured at the connection point, when the voltage and the frequency are within normal operation limits. REACTIVE POWER (OR VOLTAGE)CONTROL Wind farms are required to balance voltage deviations at the connection point by adjusting their reactive power exchange and moreover by setting up predetermined power factors. Wind Farms shall be capable of operating at rated output for power factor varying between 0.9 lagging (over-excited) to 0.95 leading (under-excited). The above performance shall also be achieved with voltage variation of ± 5% of nominal, frequency variation of ± 3% and combined voltage and frequency variation of ±5%, as given for conventional generators. The reactive output of the wind farm must be controllable in one of the two following control modes according to SU specifications: The control shall operate automatically and on a continuous basis. The wind farm shall be able to maintain acceptable small exchange of reactive power at all active power production levels. The wind farm must be able to automatically control its reactive power output as a function of the voltage in the connection point with the purpose of controlling the voltage. REACTIVE POWER (OR VOLTAGE)CONTROL According to the German grid code, the wind turbines must provide, being a mandatory requirement, voltage support during voltage dips. Wind turbines have to supply at least 1.0 p.u. reactive current when the voltage falls below 50%. A dead band of 10% is introduced to avoid undesirable control actions. However, for the wind farms connected to the high voltage grid, the continuous voltage control without dead band is also under consideration. Voltage requirements control REACTIVE POWER (OR VOLTAGE)CONTROL Older WPG based on IG require a reactive power support from the power systems. Modern WPG can provide dynamic reactive power capability directly from the power electronics converters Several TSO required that a wind farm owner supplies a PQ diagram showing the regulation capability for reactive power of the installation at the connection point. Capability curve of DFIG FAULT-RIDE THROUGH FRT: is the requirement for generating units to revert to normal operation when fault on power system is cleared. FRT requirement is imposed on a wind power generator so that it remains stable and connected to the network during the network faults. Disconnection from grid may worsen a critical grid situation and can threaten the security standards when wind penetration is high. FAULT-RIDE THROUGH IN GERMANY In Germany, the wind generating plants are expected to acquit themselves during a lowvoltage disturbance as summarized in a voltage vs. time curve. Wind turbines are required to stay on the grid within areas 1 and 2. If a wind turbine faces overloads, stability or other kinds of technical problems in area 2, it can be disconnected itself from the grid provided a resynchronization can take place after 2s. Moreover, it must be able to increase the active power output following the resynchronization by gradients of at least 10% of the nominal power per second. Definition requirements of FRT FAULT-RIDE THROUGH The wind farm must be able to continue operation during and after disturbances in the transmission network. This requirement applies under the following conditions: The wind farm and the wind turbines in the wind farm must be able to stay connected to the system and to maintain operation during and after dimensioning faults in the transmission system. The wind farm may disconnect from the system, if the voltage in the connection point during or after a system disturbance do fall below the certain levels. The fault duration, where the voltage in the connection point may be zero, is 100 milliseconds for 800 kV & 400 kV and 160 milliseconds for 220 kV & 132 kV. Inferences GCR are set up to specify the relevant requirements for efficient and secure operation of power system for all network users and these specifications have to be met in order to integrate wind turbines into the grid. The GCR for Indian scenario has been laid down in order to provide for adequate safe operation and reliability of the interconnected Indian power system. DOUBLY-FED INDUCTION GENERATOR RSC Chopper LSC Crowbar DFIG UT Fault-ride through (FRT) : Objectives & Solutions Protection of converters Grid codes fulfillment Reducing mechanical stress Crowbar Chopper Series connection Extra series converter UNIFIED ARCHITECTURE (UA) OF DFIG An extra series grid side converter (SGSC) sharing common DC bus with conventional DFIG system Reactive Power Capability of WT According to advanced GCR wind farms should have To supply/consume active/ reactive power to/from the grid To supplies a P-Q diagram showing the regulation capability for reactive power These requirements are defined with respect to the power factor as a function of the voltage at the PCC with the main grid Selection of partial rated converters rating is crucial in terms of cost, efficiency, operating speed range and reactive power capability A complete capability curve for DFIG system is developed considering optimum RSC converter rating and GSC capability. DFIG WITH BACK-TO-BACK PWM VOLTAGE SOURCE CONVERTERS GB DFIG 3 GRID 3 3 ROTOR SIDE CONVERTER CONTROL GRID SIDE CONVERTER CONTROL End heating limit Capability curve of SG REACTIVE POWER CAPABILITY OF DFIG First, 3 steady state models of DFIG are derived in terms stator and rotor voltage (VS,VR), stator voltage and rotor current (VS,IR), and stator voltage and stator current (VS,IS), to derive the limitations in the reactive power production /consumption, caused by the rotor voltage, rotor current and stator current limits, respectively Secondly, reactive power capability of the Grid Side Converter (GSC) is included. Finally, a complete capability curve of conventional & modified DFIG for stator voltages is developed by optimization of rotor speed employing maximum power point tracking (MPPT) algorithm. REACTIVE POWER CAPABILITY OF DFIG GB 3 DFIG GRID 3 3 ROTOR SIDE CONVERTER CONTROL GRID SIDE CONVERTER CONTROL The fundamental steady state equations for the DFIG are given by: Voltage equations: V s = jωS ψ S Flux equations: & V r = RR I R + j (ωS −ωR )ψ R ψ R = LR I R + LM I S ψ S = LS I S + LM I R & ( Eliminating flux linkages, we have V S = jω S LS I S + LM I R ) V R = RR I R + jsω S ( LR I R + LM I S ) & ROTOR VOLTAGE LIMITATION 2 � � L � s ᅲRR LM PS = 3VS2 � M � − 3 V V � S R 2 �LS �RR2 + ( sωS LSC ) �LS � L � −3VS Vr m Ls � � � � � � � � � cos ( δ +δK ) � �R 2 r +( swLSC ) 2 � 6 4 2 S Stator Reactive Power (p.u.) Q QS 2 3VS2 � ( sωS LM ) LSC � = 1+ ωS LS � RR2 +( sωS LSC ) 2 � � � � sin ( δ + δ K ) � � � RR2 + ( sωS LSC ) 2 � � 0 -2 s=0.3 -4 s=0.2 s=-0.2 s=0.1 s=-0.1 -6 -8 -10 -12 0 2 4 6 8 T ot al Act ive P ower P E (p.u.) 10 � � � � � ROTOR CURRENT LIMITATION PS = −3 LM VS I R cosθ LS S Stator Reactive Power (p.u.)Q VS2 L QS =3 +3 M VS I R sin θ LM .ωS LS s= -0.2 t o 0.3 0.5 0 -0.5 -1 0 0.2 0.4 0.6 0.8 T ot al Act ive P ower P E (p.u.) 1 1.2 STATOR CURRENT LIMITATION PS =−3VS I R cos φ QS =3VS I R sin φ S Stator Reactive Power (p.u.) Q 1 s = -0.2 t o 0.3 0.5 0 -0.5 -1 0 0.2 0.4 0.6 0.8 T ot al Act ive P ower P E (p.u.) 1 1.2 CAPABILITY CURVE OF DFIG The locus of capability curve is obtained by the minimum absolute value of three limiting curves governed by stator current, rotor current and rotor voltage during entire operation of optimized slip Stator Reactive Power Q S (p.u.), Slip 0.6 0.4 Rotor curent limit 0.2 Mechanical power limit 0 slip -0.2 -0.4 Rotor voltage limit Stator curent limit -0.6 -0.8 -1 0 0.2 0.4 0.6 T otal Active power P E (p.u.) 0.8 1 SELECTION OF OPTIMAL RSC RATING 1.5 Vr=0.46 50 (p.u.) 1 40 Stator Reactive Power Q S Percentage (%) Vr=0.42 0.5 Vr=0.38 Ir=1.0 Vr=0.34 0 20 10 0 Vr=0.30 -0.5 30 0 0.2 0.4 0.6 Total Active Power P E (p.u.) 0.8 Rotor voltage limitation curves for Variation in RSC rating 0.9 0.95 1 1.05 Grid Voltage (p.u.) 1.1 1 Percentage increase in RSC rating w. r. t. |±smax| × Ps required for variation in grid voltage to exclude rotor voltage limits from capability curve CAPABILITY CURVE WITH OPTIMAL RSC RATING Stator Reactive Power Q s(p.u.), Slip 0.6 Rotor cuurent limit 0.4 0.2 0 Slip -0.2 -0.4 -0.6 -0.8 -1 Stator cuurent limit 0 0.2 0.4 0.6 T otal Active Power P E (p.u.) 0.8 For RSC rating = 0.3789 p.u. i.e. (1.263 × |s max|) 1 COMPLETE CAPABILITY CURVE OF DFIG QGSC = ± (VGSC .I GSC ) 2 − PR2 GSC reactive power capability 1 1 Stator Power (p.u.) 0.5 E 0 Total Reactive Power Q Q E (p.u.) , P S (p.u.) , P R (p.u.) 0.5 Rotor Power -0.5 Slip -1 -1.5 0 0.2 0.4 0.6 0.8 T otal Active Power P E (p.u.) For RSC rating = 0.3 p.u. 1 0 -0.5 Slip -1 -1.5 0 0.2 0.4 0.6 0.8 T otal Active Power P E (p.u.) For RSC rating = 0.3789 p.u. 1 CAPABILITY CURVE OF UNIFIED ARCHITECTURE 1 E Total Reactive Power (p.u.) Q 1.5 0.5 0 -0.5 -1 -1.5 0 0.2 0.4 0.6 T ot al Act ive P ower P E (p.u.) 0.8 1 Inference from RPC curve It is established that the total reactive power generation is limited by rotor voltage at low speeds and by rotor current at higher speed. However, the total reactive power consumption is limited by stator current, for entire operating region. Rotor voltage limitation can be avoided by increase of rotor side converter rating. During operating region of optimized slip, rotor power remains considerably small and hence RPC of GSC can be effectively utilized. NONLINEAR ADAPTIVE NEURO-FUZZY CONTROLLERS FOR WT In the recent years, the controllability of wind turbines has been improved by the introduction of power-electronic technologies. DFIG schemes have utilized PI controllers for power electronic converters. However, the main problem with the PI controllers is that these will work effectively under the conditions in which these have been designed. If there is any deviation in the system conditions, such as variation in load, variation in system parameters etc., the conventional PI controllers may not give the satisfactory results. Computational intelligence (CI) techniques, such as fuzzy logic (FL), neural network (NN), genetic algorithm (GA), etc., are showing promising results in the several engineering applications. CI based controllers can lead to improved performance, enhanced tuning and adaptive capabilities. Mostly the FL and ANN are used, where an existing PI or PID controller is simply replaced by a CI based controller FL lack of a formal design methodology, the difficulty in predicting stability and robustness of FL controlled systems difficult to define the crisp rules for control difficult to define and tune fuzzy rules and the fuzzy system parameters due to large numbers of fuzzy rules ANN require least computational time after training to select optimal structure, parameter values and to minimize training set are some of the issues to be addressed in the neural network applications. An ANFIS based hybrid intelligent controller is proposed for fast, accurate, and efficient control of power electronic systems used for wind turbines 63 ROTOR SIDE CONVERTER CONTROL Aims to control the stator active and reactive powers ANFIS ANFIS ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM In an ANFIS technique, using a given input/output data set, a fuzzy inference system (FIS) is constructed from an extremely limited mathematical representation of the system, whose membership function parameters are tuned (adjusted) using either a back-propagation algorithm alone, or in combination with a least squares type of method. This allows fuzzy systems to learn from the data they are modeling. Hence ANFIS architecture can identify the near-optimal MFs of FLC for achieving desired input-output mappings BASIC STRUCTURE OF THE ANFIS The adjustment of modifiable parameters is a two step process. First, information is propagated forward in the network until Layer-4, where the parameters are identified by a least-squares estimator. Then the parameters in Layer-2 are modified using gradient descent. BASIC STRUCTURE OF THE ANFIS Layer 1 1 Every node i, in this layer, is a square node with a node function Oi = µ A ( x) where, x is the input to node i, and Ai is the linguistic label (small, large, etc.,) associated with this node function. Parameters in this layer are referred to as premise parameters. i Layer 2 Every node in this layer is a circle node, labeled Π, which multiplies the incoming signals and sends the product out. Layer 3 Every node in this layer is a circle node, labeled N. The I node calculates the ratio of the I rule’s firing strength to the sum of all rule’s firing strengths, as given below. Outputs of this layer are known as normalized firing strengths. Layer 4 4 Every node i in this layer is a square node with a node function Oi = wi fi = wi ( pi x + qi y + ri ) where, wi is the output of layer 3, and { pi , qi , ri } is the parameter set. Parameters in this layer will be referred to as consequent parameters. Layer 5 The single node in this layer is a circle node labeled Σ that computes overall output as the summation of all incoming signals. DESIGN OF ANFIS CONTROLLERS Output Reference Output Reference ANFIS PI Error Actual Signal Error Actual Signal Training and testing the ANFIS are generated by designing and testing PI controllers for a set of operating conditions Operation at different wind speed conditions. Operation at different ramp increase in wind speed. Operation at different step increases in wind speed. Operation at 1-phase fault. Operation at 3-phase fault. Operation at different voltage sag conditions Training was performed using Hybrid Algorithm SIMULATION RESULTS FOR DFIG DURING THREE-PHASE FAULT q-axis Stator Current (pu) d-axia Stator Current (pu) 4 ANFIS PI 2 0 -2 -4 19.95 20 20.05 20.1 20.15 20.2 20.25 20.3 20.35 20.4 4 ANFIS 0 -2 -4 19.95 20.45 Time (s) PI 2 20 20.05 20.1 2 1 0 -1 -2 ANFIS -3 PI -4 19.95 20 20.05 20.1 20.15 20.2 20.25 20.3 20.15 20.3 20.35 20.4 20.45 20.35 20.4 q-axis stator current ANFIS 0 -2 -4 19.95 20.45 PI 2 20 20.05 20.1 20.15 20.2 20.25 20.3 20.35 20.4 20.45 Time (s) q-axis rotor current d-axis rotor current 2.5 2 PI 1.5 1 0.5 20 20.05 20.1 20.15 20.2 Time (s) 20.25 Stator flux 20.3 20.35 20.4 20.45 DC Link Voltage (pu) 3 ANFIS Stator Flux (pu) 20.25 4 Time (s) 0 19.95 20.2 Time (s) q-axis Rotor Current (pu) d-axis Rotor Current (pu) d-axis stator current ANFIS PI 2.5 2 1.5 1 19.95 20 20.05 20.1 20.15 20.2 Time (s) 20.25 DC link voltage 20.3 20.35 20.4 20.45 SIMULATION RESULTS FOR UA DURING THREE-PHASE FAULT q-axis Stator Current (pu) d-axia Stator Current (pu) 0.5 ANFIS PI 0 -0.5 -1 19.95 20 20.05 20.1 20.15 20.2 20.25 20.3 20.35 20.4 ANFIS 0.8 PI 0.6 0.4 0.2 0 -0.2 19.95 20.45 20 20.05 20.1 20.15 20.2 20.25 20.3 20.35 20.4 20.45 Time (s) Time (s) d-axis stator current q-axis stator current 1 q-axis Rotor Current (pu) d-axis Rotor Current (pu) 0 ANFIS PI 0.5 0 -0.5 19.95 20 20.05 20.1 20.15 20.2 20.25 20.3 20.35 20.4 -0.2 -0.4 -0.6 -0.8 -1 -1.2 19.95 20.45 ANFIS PI 20 20.05 Time (s) 20.1 20.15 20.2 20.25 20.3 20.35 20.4 20.45 Time (s) d-axis rotor current q-axis rotor current Stator Flux (pu) 1 ANFIS PI 0.8 0.6 0.4 0.2 19.95 20 20.05 20.1 20.15 20.2 Time (s) 20.25 Stator flux 20.3 20.35 20.4 20.45 DC Link Voltage (pu) 1.35 ANFIS 1.3 PI 1.25 1.2 1.15 1.1 19.95 20 20.05 20.1 20.15 20.2 20.25 Time (s) DC link voltage 20.3 20.35 20.4 20.45 Inferences The dynamic performance shows that, with ANFIS, the settling time is reduced, peak overshoot of values are limited and oscillations have been damped out quickly. ANFIS based controller performs better than PI controller. ANFIS based controllers can perform more better by rigorous training using large data sets. Economic Issues High capital/Energy Cost Trading Issues Fixed Price Systems where the government sets the electricity prices (or premiums) paid to the producer and allows the market to determine the quantity. 1. Investment Subsidies 2. Fixed Feed-in Tariffs 3. Fixed Premium Systems 4. Tax Credits. Renewable Quota Systems where the government sets the quantity of electricity from renewables and leaves it to the market to determine the price. Trading of Wind Power Due to high cost and intermittent nature of availability of wind power, it is not possible for wind generators to bid into the competitive electricity market. Therefore, Pricing mechanism for financial viability of wind power in the market is necessary. but Trading of Wind Power-External Cost The real cost of energy production by conventional energy includes expenses absorbed by society, such as health impacts and local and regional environmental degradation – from mercury pollution to acid rain – as well as global impacts from climate change. If these environmental costs were levied on electricity generation according to their impact, many renewables, including wind power, would not need any support to successfully compete in the marketplace. Trading of Wind Power Trading Issues will be examined and suitable market mechanism will be developed to take care of survival of wind generators in Emerging Electricity Market. Both the demand and supply side bidding scenarios will be considered with examples. Several other considerations in market mechanism such as market collusion, participation in the ancillary services and impact on market power will also be explored Economic Issues Preferential Tariff & Incentives Complementary Mechanism The beneficiaries shall pay to the respective ISGS Capacity charges corresponding to plant availability and/or Energy charges for the scheduled dispatch, in accordance with the relevant contracts /orders of CERC. The sum of the above two charges from all beneficiaries shall fully reimburse the ISGS for generation according to the given dispatch schedule. In case of a deviation in actual generation from the dispatch schedule, the concerned ISGS shall receive or shall pay in accordance with UI regulation of CERC. Unschedule Interchange ‘Unscheduled Interchange’ in a time-block for a generating station or a seller means actual generation minus its scheduled generation and for a beneficiary or buyer means its total actual drawal minus its total scheduled drawal. Limits on UI volume The over-drawal of electricity by any beneficiary or a buyer during a time-block shall not exceed 12% of the scheduled drawal of such beneficiary or buyer or 150 MW (whichever is lower), and 3% on a daily aggregate basis, for all the time blocks when frequency is below 49.5 Hz. Unschedule Interchange Special dispensation for scheduling of solar generation The schedule of solar generation shall be given by the generator based on availability of the generator, weather forecasting, solar insolation, season and normal solar generation curve and shall be vetted by the RLDC in which the generator is located and incorporated in the inter-state schedule. If RLDC is of the opinion that the schedule is not realistic , it may ask the solar generator to modify the schedule. Special dispensation for scheduling of solar generation In case of solar generation no UI shall be payable/receivable by Generator. The host state , shall bear the UI charges for any deviation in actual generation from the schedule. However, the net UI charges borne by the host State due to the solar generation, shall be shared among all the States of the country in the ratio of their peak demands in the previous month based on the data published by CEA , in the form of regulatory charge known as the Renewable Regulatory Charge operated through the Renewable Regulatory Fund . This provision is applicable ,with effect from 1.1.2011, for new solar generating plants with capacity of 5 MW and above connected at connection point of 33 KV level and above and , who have not signed any PPA with states or others as on the date of coming into force of this IEGC. Illustrative examples for commercial settlement for Solar Generation Solar generator to give schedule to the concerned SLDC and RLDC. Purchasing state to pay to solar generator at contracted rate for whatever powe is generated by the solar generation. Remaining under drawal / over-drawal to be settled in UI mechanism and RRF. Illustrative examples for commercial settlement for Solar Generation Case 1: Actual as per generation schedule Schedule Actual ( MW) generation (MW) Implication on purchaser Unscheduled Interchange (UI) Implication on host state Implication on solar Generator 5 Purchaser to pay Solar Generator for 5 MW at contracted rate. No implication on host state. No implication on solar generator. 5 Illustrative examples for commercia settlement for Solar Generation Case 2: Under Injection by the Solar Generator Schedule ( MW) Actual generation (MW) Implication on purchaser Unscheduled Interchange (UI) Implication on Implication on host state solar Generator 5 4 Payment to be made by purchaser for 4 MW (as per actual) at Contracted rate and for 1 MW to RRF at UI rate For 1 MW UI liability on the host state, as a result of under generation by the Solar Generator embedded in the State system, the same shall be received by the host state from RRF at UI rate. No implication on Solar generator. Illustrative examples for commercia settlement for Solar Generation Case 3: Over Injection by the Solar Generator Schedule Actual ( MW) generation (MW) Implication on Purchaser Unscheduled Interchange (UI) Implication on host state Implication on solar Generator 5 To pay for 6 MW to Solar generator at contracted rate Purchaser shall receive payment for 1 MW from RRF at contracted rate. For 1 MW, UI benefit for the host State on account of overgeneration by solar generator to be passed on to the RRF at UI rate No implication on Solar generator. 6 Illustrative examples for commercial settlement for Wind Generation Case 1: Actual as per generation schedule Schedule Actual ( MW) generation (MW) Implication on purchaser Unscheduled Interchange (UI) 100 Purchaser to pay Wind Generator for 100 MW at contracted rate. No implication on host state. 100 Implication on host state Implication on wind Generator No implication on wind generator. Illustrative examples for commercial settlement for Wind Generation Case 2: Under Injection by the Wind Generator within 30 % variation Schedule ( MW) Actual generation (MW) Implication on purchaser Unscheduled Interchange (UI) 100 70 Payment to be made by purchaser for 70 MW (as per actual) at contracted rate and for 30 MW to Renewable Regulatory Fund (RRF) at UI rate of his region. For 30 MW UI liability on the host state, as a result of under generation by the Wind Generator embedded in the State system, the same shall be received by the host state from RRF. Implication on host state Implication on wind Generator No implication on wind generator. Illustrative examples for commercial settlement for Wind Generation ase 3: Under Injection by the Wind Generator beyond 30 % variation Schedule ( MW) Actual generation (MW) Implication on purchaser Unscheduled Interchange (UI) Implication on host state Implication on wind Generator 100 60 To pay for 70 MW to Wind generator (since, in this range, the wind Generator comes under UI mechanism) At contracted rate. 30 MW by purchaser at UI rate in his Region, to RRF Out of 40 MW liability of UI on Host State on account of under generation by wind generator, UI for 30 MW shall be received by the host state from RRF and UI of 10 MW would be received from the UI pool. UI rate for 10 MW payable by Wind Generator to UI Pool Illustrative examples for commercial settlement for Wind Generation ase 4: Over Injection by the wind generator within 30% variation Schedule ( MW) Actual generation (MW) Implication on purchaser Unscheduled Interchange (UI) Implication on host state Implication on wind Generator 100 130 To pay for 130 MW to Wind generator At contracted rate. Purchaser shall Receive payment for 30 MW from RRF at UI rate of his region. For 30 MW, UI benefit for the host State on account of overgeneration by wind generator to be passed on to the RRF. No implication on wind generator. Illustrative examples for commercial settlement for Wind Generation ase 5: Over Injection by the wind generator from 130% to 150 % generation Schedule ( MW) Actual generation (MW) Implication on purchaser Unscheduled Interchange (UI) 100 140 To pay for 130 MW at contracted rate. Purchaser shall receive payment for 30 MW from RRF at UI rate of his region. For 40 MW UI benefit for the Host State on account of over generation by wind generator, UI for 30 MW to be passed on to the RRF and UI for 10 MW to be passed to UI pool. Implication on host state Implication on wind Generator UI for 10 MW to be received from UI pool. Illustrative examples for commercial settlement for Wind Generation ase 5: Over Injection by the wind generator beyond 150 % Schedule ( MW) Actual generation (MW) Implication on purchaser Unscheduled Interchange (UI) Implication on host state Implication on wind Generator 100 160 To pay for 130 MW at contracted rate. Purchaser shall receive payment for 30 MW from RRF at UI rate of his region. For 60 MW benefit for the Host State from UI Pool on account of higher generation by wind, UI for 30 MW to be passed on to RRF and UI for 30 MW to be passed on to UI pool. UI for 20 MW to be received by Wind Generator from UI Pool at the UI rate applicable at that particular time and for 10 MW UI to be received by Wind Generator from UI Pool at the UI rate applicable for frequency interval below 50.02 and not below 50.00 Hz. Renewable Energy Certificate (Regulations 2010) CERC makes the following regulations for the development of market in power from Non Conventional Energy Sources by issuance of transferable and saleable credit certificates. The concept of renewable energy certificate seeks to address the mismatch between availability of renewable energy sources and the requirement of obligated entities to meet their renewable purchase obligations. The REC mechanism mainly aims at promoting investment in the renewable energy projects and to provide an alternative mode to the RE generators for recovery of their costs. Renewable Energy Certificate (Regulations 2010) Categories of Certificates: (1) There shall be two categories of certificates, viz., solar certificates issued to eligible entities for generation of electricity based on solar as renewable energy source, and non-solar certificates issued to eligible entities for generation of electricity based on renewable energy sources other than solar: (2) The solar certificate shall be sold to the obligated entities to enable them to meet their renewable purchase obligation for solar, and non-solar certificate shall be sold to the obligated entities to enable them to meet their obligation for purchase from renewable energy sources other than solar. Renewable Energy Certificate (Regulations 2010) Eligibility and Registration for Certificates: Dealing in the certificates: Pricing of Certificate: Validity and extinction of Certificates: Modeling Issues the model complexity depends on the target of the investigations or intended application, the models shall be in agreement with the interface of simulation tools, the level of detail representation of each component should truly represent its physical phenomenon, appropriate simulation time-scale is crucial for phenomenon under study 95 Modeling Issues aggregated wind park models, which represent a whole wind park instead of only a single wind turbine, must be suitably addressed to study the impact of high penetration levels of wind power on the dynamic behavior of large power systems, by considering all parameters. this reduces the size of the power system model, the data requirements and the computation time. 96 Modeling Issues Development of models must reflects the technological development (or next generation WT) in the area of wind power generation especially in meeting existing Grid Code Requirements (GCR) as well as GCR’s required in future Reactive power capability of WT & inclusion of FACTS devices 97 Conclusions Wind farms have a significant influence on the operation of power systems. Grid codes are set up to specify the relevant requirements for efficient and secure operation of power system for all network users and these specifications have to be met in order to integrate wind turbines into the grid. In this paper, existing GCR of several countries, which are proactively meeting the challenge of considerable wind power penetration, are analyzed. Conclusions GCR’s are discussed, like, are active power control, frequency control, voltage control, wind farm protection (fault ride through control) etc. These interconnection regulations for wind turbines or wind farms tend to add the following requirements: • to maintain operation of WTduring a fault in the grid, known as ‘fault ride-through’ capability; • to operate the wind turbine in the predefined frequency range; • to control the active power during frequency variations (active power control); Conclusions • to limit the power increase to a certain rate (power ramp rate control); • to supply or consume reactive power depending on power system requirements (reactive power control); • to support voltage control by adjusting the reactive power, based on grid measurements (voltage control). These interconnection requirements can increase the total cost of a wind turbine or wind farm. Hence, interconnection regulations should be enforced for secure & economic operation of power system. Outlook (1) Further increase of wind turbine size – limitation only by transportation DFIG or full size converter based wind turbines? Still not clear! Voltage control by WT becomes common feature WT will be provide STATCOM function WT stay connected to the grid during voltage dips WT will participate in grid frequency support Outlook (2) Wind farm operators have to provide certification about grid compliance Standards for certification are necessary Manufacturer have to provide WT simulation models for grid studies Further improvement of grid codes is necessary Financial compensation for Var generation? Outlook (3) Wind Turbine modeling (DFIG) • Model for stability studies • Aggregated Model for Wind Farms/Parks Impact of Large Wind Power on Transient Stability and development of Controllers to improve Transient Stability Impact of Large Wind Power on Small Signal Stability and development of Controllers to improve Small Signal Stability Coordination of Wind Power with Conventional Power Plants Trading Issues and Development of Suitable Market Mechanism for Emerging Electric Power System. Future Perspective of Renewable Energy in India Perspective Plan 2022 The Integrated Energy Policy Report (IEPR), prepared by the planning commission of India, has recognized renewable energy sources remain important to Indian’s energy sector. With a concerted push and a 40 fold increase in their contribution to the primary energy, renewables may account for only 5-6% of India’s energy mix by 2031-32. This will call for extensive RD&D efforts to make renewable energy technologies more reliable, long life and cost effective. The planning commission of India set a very competitive goal for India in its perspective plan 2022. Perspective Plan: Grid-Interactive Renewable Power The aim for the 11th five year plan i.e (2007-12) is a capacity addition of 15000 MW from RES (14000 MW Grid-interactive and 1000 MW distributed RES). By the end of the 11th plan, renewable power capacity would be 25000 MW in a total capacity of 200 GW accounting for 12.5% and contributing around 5% to the electricity mix. A capacity addition of around 30 GW is envisaged for the 12 th and 13th plans. Renewable power capacity by the end of the 13th plan period is likely to reach 54000 MW, comprising 40000 MW wind power, 6500 MW SHP, and 7500 MW bio-power, which would correspond to a share of 5% in the then electricity-mix. Resource Upto 10th Plan (2002-07) 11th Plan (2007-12) 12th & 13th Plan (2012-22) Total Wind Power 7000 10500 22500 40000 SHP 1960 1400 3140 6500 Bio Power 1037 2100 4363 7500 3 - - 3 10000 14000 30003 54003 Solar Power Total Perspective Plan: Renewable Energy for Urban, Industrial, and Commercial Applications The major goals include 50 million m2 of solar collector area for thermal applications, mainly solar water heating, and, 7500 MW of grid/captive power from bio-resources, including urban and industrial wastes. Compared to the status in 2007, there is a massive build-up in capacity, which will require concerted action across various fronts, starting with the next plan. Resource Solar Thermal Systems / Devices 2012 10 million m2 collector area 2022 30 million m2 2032 50 million m2 Energy-efficient Buildings 5 million m2 floor area (1000 buildings) 20 million m2 40 million m2 Energy Recovery from Included in the proposed targets for bio-power in gridUrban & Industrial Wastes interactive renewable power. Medium Term (2032) Deployment Aims GOI aims for several medium/long term goals such as 10% grid interactive renewable power by 2012 and 15 % by 2032, alternate fuels (bio fuels, synthetic fuels, and hydrogen) substitution up to 5% by 2017 and 10% by 2032. The other massive plans in various sectors are Energy recovery from municipal waste in 423 cities including 107 municipal corporations where suitable waste is available by 2032. Solar water heating systems: 100% coverage of all prospective users like hotels, hospitals, etc. by 2032. 100% coverage of street lighting control systems by solar sensors in all cities by 2012. Solar water heating systems: 100% coverage of potential industries by 2032. Cogeneration: 100% coverage of potential sugar and other biomass based industries by 2032. Provision of lighting/electricity in all remote un-electrified census villages and remote hamlets of electrified census villages by 2012. Concluding Remarks India has huge potential for producing power from Renewable Energy Sources (RES). Government of India has endeavored to lay the foundation for a broadbased renewable energy program and designed it specially to meet the growing energy needs, and to fulfill energy shortage and security concerns of the country. Considerable experience and capabilities exist in the country on renewable technologies. Although at present the contribution of renewable energy is small, but future developments might make RES technology more competitive to displace conventional energy sources. Prospects for RES are steadily improving in India towards a great future. It is destined to take a leading role in the global renewable energy movement aiming towards sustainable development. The strategy for achieving these enhanced goals will mainly depend on the active participation of all players i.e. from government agencies to NGO’s, from manufactures to R&D institutions, from financial institution to developers and of course a new breed of energy entrepreneurs.