Smart Grids for Sustainable Mega Cities and a Delhi Innovation Anil Razdan Former Secretary Power Government of India Erice : Italy August 2012 A Rapidly Urbanizing World For the first time in history, the proportion of world population living in urban areas reached 50% in 2008 Will reach 60% in 2030 if present trend continues Developed countries had attained 50% urbanization in 1950’s Developing countries will attain that level in a decade. The least developed have most of their population in rural areas and will face the fastest urbanisation in the near future Between 2007 and 2050 the world population growth will be 2.5 billion and the cities will absorb 3.1 billion Urbanisation in developing countries not linked to economic growth, will happen even otherwise The Challenges of Urbanisation Populations in developing countries move to cities for better wages, amenities, health care and education People prefer to be poor in city slums rather than in a remote rural area for better economic opportunities Besides housing, this presents vast challenges of meeting energy demands of electricity, transportation and cooking fuels Need to assure ENERGY Availability, Accessibility and Acceptability (3As) In the context of developing countries 4Es are relevant Energy, Environment, Efficiency and Equity Challenge becomes greater on account of multilevel governance and financial jurisdiction-local, state and federal Poverty and nascent democracy restrain harsh enforcement measures Mega cities In 1975 there were 179 cities with more than 1 million inhabitants. In 2007 they were 430 MEGA CITIES defined by UN as an urban conglomeration of more than 10 million, constitute only 4% of urban population Mega cities are cultural, political and economic centres Most visual part of the urbanising world depicting the advantages, disadvantages and disparities of life in a city The biggest 30 cities produced 16% of the global GDP while accounting for only 4% of the population Between 1975 and 2010 the number of people living in mega cities rose from 53.2 million to 318 million In 1950 only two mega cities : Tokyo and New York. By 2025, there will be 27, and Asia will have 15 of them Urban Energy Surge World Energy Outlook 2008 : Cities consumed two thirds of global energy consumption in 2006, will consume three fourths by 2030 Cities in transition move from traditional bio mass fuels to LPG and electricity as incomes rise Mode of transport often determined by density and spread. Metro services reduce oil consumption and pollution, but demand more and reliable electricity Vertical rise of cities raises electricity demand for climate control (AC), water supply and lifts However, mega cities often provide a better opportunity for innovation through better finances, political clout, media attention and visibility for federal support CHARACTERISTICS and BURDENS of MEGA CITIES Given their economic importance, each mega city must remain highly competitive in terms of infrastructure in a globalized economy Serious energy constraints in developing countries made more acute in high demand mega cities Climate change and local pollution concerns make capacity addition from conventional fuels more difficult Business, transportation, high rise buildings, sensitive IT based information and communication system, traffic signals and large hospitals place a huge demand for electricity The presence of ultra rich with energy intensive life styles adds to the demand CHARACTERISTICS and BURDENS of MEGA CITIES Contd. The integration of neighboring villages in extended limits of mega cities leads to pockets of lower quality electricity service Energy poor settlements and erstwhile rural areas without an urban culture create serious problems of power theft and governance Metro transportation has increased burden of secure and steady power Working population leaving and returning home at the same time in a service oriented economy leads to peak demand Space constraint for developing renewable energy infrastructure to meet renewable purchase obligations CHARACTERISTICS and BURDENS of MEGA CITIES Contd. Energy Demand Management becomes a critical issue to avoid disruptive black-outs and shortages It is crucial and necessary to involve consumers in demand response management through differential tariff Developed countries retro fitting smart grids Danger of mega cities emerging in the developing world through sheer population size without modern logistics to ensure safe and secure electric supply Solution: We have to find a technology solution which minimises power demand, gives quality supply, is remotely controlled and involves participation of consumers. As life in a mega city is controlled by electricity the installation of Smart Grid is no longer a luxury or a brand idea. It has become a necessity. DELHI : A MEGA CITY WITH CHALLENGES From a small town of 0.4 million in early twentieth century Delhi is home to nearly 17 million people today The National Capital Region NCR has a population of over 48 million Highest per capita income in India By 2012 population of Delhi 23 million NCR will be 64 million 3.63 million households and an electricity consumer base of 3.33 million Peak Power Demand met in 2004-05: 3490 MW in 2012 : 5600 MW Aggregate Technical & Commercial Power loss in 2002 : 52% , 2011 : 18% Contd. DELHI : A MEGA CITY WITH CHALLENGES Contd. Vast improvement in distribution control system post Public Private Partnership in 2002 Further reduction in losses hampered by some urban and rural pockets having high power and material theft and malpractices Quality of power in villages poor on account of long distribution feeders Regulator has imposed Renewable Power Purchase obligations. No local renewable source except solar. Space constraint for any solar farm in congested urban area Number of private vehicles has risen from 2.75 million in 1997-98 to 5.30 million in 2007-08 Large scale introduction of Metro Rail Service to provide Mass Rapid Transport to decongest roads and reduce vehicle pollution has increased dependence on electricity. Delhi : Pattern of Electricity Consumption in 2007-08 Source: Central Electricity Authority Commercial , 30.67% Domestic, 43.75% Industrial (LV/MV), 16.23% Miscellaneous, 4.28% Industrial (HV), 1.11% Public Water works & sewage Pumping, 1.27% Agriculture , 0.23% Traction, 0.91% Public Lighting , 1.56% YEARWISE STATUS OF AT&C LOSSES FOR PRIVATE DISTRIBUTION COMPANIES IN DELHI (IN PERCENTAGE) Distribution Company Opening Levels of AT & C Loss* BYPL 57.2 BRPL NDPL 48.1 48.01 200203 200304 200405 200506 2006-07 2007-08 2008-09 2009-10 Target 56.45 54.70 50.70 44.65 39.95 34.77 30.52 26 Achievement 66.89 54.29 50.12 43.88 39.03 29.82 20.02 24.32 Target 47.55 46.00 42.70 36.70 39.10 26.69 23.46 20 Achievement 47.40 45.06 40.64 35.53 29.92 27.17 20.59 19.64 Target 47.60 45.35 40.85 35.35 31.10 23.03 20.35 18.67 Achievement 47.79 44.86 33.79 26.52 23.54 18.31 15.41 15.16 *AT & C Loss : Aggregate Technical and Commercial Loss. 2010-11 21.95 18.82 MAKING DELHI SUSTAINABLE Conserve scarce water through waste water recovery and rain water harvesting Building Designs to be energy efficient Solar reflecting roofs and water heating Encourage Roof Top Solar power Widespread use of CFL/LED lighting Subsidised power tariff for low power consumption Strong public campaign for consumer awareness to install energy efficient labeled appliances Scrapping coal based thermal power stations Replaced with gas fired stations Erect a world class Metro Rail network to substitute petrol/diesel driven vehicles. In 2012, Delhi Metro has 160 KM corridor carrying 2.2 million passengers daily with an average trip length of 15 Km By 2017 nearly 4 million passengers By 2021nearly 250 km corridor to carry 10.8 million passengers daily with an average trip length of 15 Km Issue : How to optimise power demand and availability POWER SECTOR MODERNISATION VITAL FOR DELHI Delhi has become highly dependent on a secure and reliable power supply system without adequate generation of its own Delhi is part of Northern Region (NR) which has met a peak demand of 40,000 MW this summer. Peaking shortage in NR has been 12-14% though Delhi has virtually no peaking shortage. Delhi is part of an interconnected NR, WR, ER, NER grid of about 80,000 MW Owing to over drawls and grid indiscipline by some constituents there were two successive grid collapses on 30th July and 31st July 2012 after almost 10 years leading to huge disruption for some hours Large base load Coal Thermal Power means large off peak surplus. Need to curtail it through Smart Grid analytics and solutions Distribution and Transmission networks need urgent modernisation and intelligent grids, as well as islanding of Delhi Delhi being a national capital needs to immediately develop a smart grid to ensure safe supply, discipline consumers, optimise power requirement and improve quality of supply KEY CHALLENGES IDENTIFIED BY A DELHI DISTRIBUTION COMPANY 1Break down Response Failure information Alternate feed Fault isolation 3 Consumer Engagement ABT tariff 2 High Loss area High loss DT Hostile consumers Payment collection 4 Rural Electrification. Long feeders Involvement of consumer High technical loss Demand response O&M difficulties What is a Smart Grid? Smart Grid is the integration of intelligent IT technologies, basic electricity principles, and processes into transmission and distribution networks, with the use of smart meters for the mutual benefit of grid controllers, distribution companies and consumers, thereby optimizing the use of minimal installed capacity and ensuring system stability with self healing characteristics Grid-side applications supported by a fibre back bone and powerful IT Sensors & control devices Distributed & renewable generation and storage Consumer applications & options enabled by last –mile communication Smart Meters & load control Consumers HAN, smart appliances & Plug-in electric cars. Smart Grid Characteristics 20th Century Grid 21st Century Smart Grid Electromechanical Digital One-way communications (if any) Two-way communications Built for centralised generation Accommodates distributed generation Radial topology Network topology Few sensors (limited to Zone SCADA) Monitors and sensors at all levels of T&D network “Blind” Self-monitoring & timely Manual restoration Semi-automated restoration and, eventually selfhealing Prone to failures and blackouts Adaptive protection and islanding Check equipment manually Monitor equipment remotely Emergency decisions by committee and phone Decision support systems, predictive reliability Limited control over power flows Pervasive control systems Limited price information Full price information Few customer choices Many customer choices Source : Energy Networks Association Smart Grid – Key Components • Customer Applications • Grid Applications - In home displays (access consumption data from appliance and not meter) - Direct load control via smart appliances - Home automation (load control of high priority smart appliances) - Volt-VAR Control - Fault detection, Isolation and Restoration - Sub-station and feeder monitoring and diagnostics - Wide area measurement • Smart Meters - Remote meter reading - Real time consumption and power factor data - Two way communications to: • Integration of renewables and distributed generation • IT Systems and back office - Enhanced system control, network planning, operations and maintenance • • • • • Set Supply capacity limits De-engerisation and re-engerisation Provide direct load control of customer appliances (via home area networks ) Remote service checking Other utility meters (e.g. water) via HAN RURAL DISTRIBUTION CHALLENGES IN DELHI To enable improvement in reliability and quality of rural electricity in Delhi it was decided by the distribution company to design a Smart Grid Rural Electrification Network to meet one of the four identified challenges. Problems in Identified Villages Technical loss 15%, AT&C loss 50%, low voltage, long feeders Material theft Billing & Collection difficulties. Hostile and aggressive consumers Difficult physical disconnection Long breakdown: need to make fault intimation, isolation and alternate feed instantaneous Fault forecasting Solution Install Renewable Energy Distribution with Smart Grid as a winwin Solution. It will also be cheaper to install solar panels in rural area to meet Renewable Power Obligation SMART GRID MATURITY MODEL Is a Management tool developed for electric utilities under the aegis of Carnegie Mellon University, USA, to Map the current state of smart grid deployment and capability within an electric utility Help in establishing future strategies and work plans for Grid modernization Help organizations to bridge gaps between Smart Grid strategy and execution Share vision of the smart grid with internal and external stakeholders Prioritize options and measure success of Smart Grid Implementation The Delhi distribution company model has been validated by Carnegie Mellon USA which believes that the company is at a right position to start Smart Grid implementation PROPOSED SYSTEM ARCHITECTURE Generation Local Intelligence Supply Connect/Disconnect (pole level) Change Over Isolator Intelligent Unit Supply Quality & Measurement Meter On Pole LAN / WAN (RF / PLCC) Data Concentrator DT Meter Transformer x Communication Shackle Point/ Alternate feed Connect / Disconnect APFC Alarm Generation GPRS / GSM / Optical Fibre Consumer Server Power Line Data Line SMART NETWORK – PHASE ONE COMPONENTS Distribution Transformer Pole Consumer AMR DT Automation & Smart APFC AMI Technology Green Club & Consumer Interactive Display I/O LT ACB automation Sensors Concentrator Meter Communication Pole Meter Communication Pole Meter Communication Consumer Meter Communication Load On-Off KWh Display Interactive Display Component design should be Flexible, modular and scalable Communication Load On-Off Frequency based Off Proposed site for Renewable Distribution with SG Name of site – Village Pandwala Kalan, Najafgarh DT electrical parameters Nos of DTs……… 03 Rating ….. Each 400KVA Feeder length (HT)….. 12~14KM Consumer tagging .. Yes Cost Rs. 5 Million Approx US$ 0.1 Million System Cost Rs. 45 Million <US$ 1 Million Consumer brief Nos of consumers…… 1000 DT loss (%)……….. >50% Any shackle joint…. YES Generation capacity 50 KW Solar/Solar Wind Infrastructure Communication….. GSM/ CDMA Road……………… YES Large power theft to be checked using Energy Gap Method between DT and consumer meters. Alarm to be sounded for theft with automatic disconnection. Village community to isolate power thieves. AMI Solution - Features Bi-Directional Communication Supply connect disconnect Remote Connect/ Disconnect Intelligent unit at DT Alarms – power failure Meter on pole Technical loss computation Energy Audit Compliance with CEA specification AMI-Remote Connect/ Disconnect The command can be executed on-line Can disconnect/reconnect customer based on defaults/ request Server keeps history of Connection/ Disconnection in Database Provides Pre or Post payment option without any change in the hardware Logic based auto-disconnect Load limiter Peak load limiter Load type limiter Negatives Cyber Security Concerns Data Privacy (Crime etc.) Benefits of Replicable Model Huge T&D loss can be contained by local generation No fuel cost Least Maintenance Quality Power Renewable purchase obligation (RPO) Quick ROI Reliable and quality power Mitigating Climate change concern & carbon credits Anil Razdan Former Secretary Power Government of India Email : anilrazdan127@gmail.com anilrazdan127@yahoo.com