S1-1 2012 IEEE Student Conference on Research and Development Power Quality Impact of Grid-Connected Photovoltaic Generation System in Distribution Networks Masoud Farhoodnea Azah Mohamed Hussain Shareef Hadi Zayandehroodi Department of Electrical, Electronic and Systems Engineering Universiti Kebangsaan, Department of Electrical, Electronic and Systems Engineering Universiti Kebangsaan, Department of Electrical, Electronic and Systems Engineering Universiti Kebangsaan, Department of Electrical, Electronic and Systems Engineering Universiti Kebangsaan, Malaysia Malaysia Malaysia Malaysia which can decrease the reliability of the system [5]. Therefore, accurately analysing the impacts of installing such technology on the performance of the electric network is quite necessary to provide feasible solutions for potential operational problems that grid-connected PV systems can make for distribution systems and their components. The aim of this paper is to accurately study the influences of installed large grid-connected PV systems on the dynamic performance of distribution networks. To investigate the effects of different weather conditions on the produced power of the PV modules, required meteorological data related to Kuala Lumpur for one year are collected from the Malaysian Meteorological Department (MMD), and simulation is carried on a modified radial 16 bus test system with an embedded 1.8 MW grid-connected PV system with SunPower SPR 305 and Sanio HIP 225 modules using Matlab/Simulink software under sunny and cloudy weather conditions. Abstract—In recent decades, the presence of photovoltaic (PV) systems is increased to provide power for local or remote loads. However, when a large PV system connects to the distribution network under variable weather conditions, it may cause severe problems for power system components. This paper presents a dynamic power quality analysis on a grid-connected PV system in a distribution system subjected to different weather conditions. A 1.8 MW grid-connected PV system in a radial 16 bus test system is modelled and simulated under varying solar irradiations using the Matlab/Simulink software. The simulation results proved that the presence of high penetrated grid-connected PV systems can cause power quality problems such as voltage rise, voltage flicker and power factor reduction. Keywords — Power Quality; Distributed Generation; Renewable Energy; Photovoltaic Systems; Voltage Fluctuation; Voltage Flicker I. INTRODUCTION The application of PV systems in power systems as a safe and clean source of energy from the sun can be divided into two main fields including stand-alone and grid-connected applications. Stand-alone PV systems are able to provide power for remote loads that do not have any access to power grids, whereas grid-connected applications can be used to provide energy for local loads as well as to the exchange power with utility grids [1]. PV systems are able to improve the performance of the electric network by reducing the energy losses of distribution feeders, maintenance costs and loading of transformer tap changers during peak hours [2]. Nonetheless, in comparison with other renewable energy based power resources, PV systems may cause some adverse effects to the system such as harmonic pollution, high investment cost, low efficiency and reliability which hinder their widespread use [3]. Moreover, variations in solar irradiation can cause power fluctuations and voltage flickers and resultantly undesirable effects of high penetrated PV systems on the electric network [4]. In addition, any unintentional islanding in the presence of PV systems may increase the risk of safety problems or damage to the other parts of the system components, 978-1-4673-5160-7/12/$26.00 ©2012 IEEE II. PV SYSTEM MODELLING The fundamental components of a grid-connected PV systems consists of a series/parallel mixture of PV arrays to directly convert the sunlight to DC power, and a power-conditioning unit that converts the DC power to AC power, and also keeps the PVs operating at the most efficient point [6]. Fig. 1 shows a general diagram of the grid-connected PV systems. Fig.1. Simplified diagram of grid-connected PV system 1 S1-1 2012 IEEE Student Conference on Research and Development Generally, the electric characteristics of a PV unit can be expressed in terms of the current-voltage, or the power-voltage relationships of the cell. The variations of these characteristics directly depend on the received solar irradiation and the cell temperature. Therefore, to analyse the dynamic performance of PV systems under different weather conditions, an accurate model is required to convert the effect of irradiance and temperature variations on the produced current and voltage of the PV arrays. Fig. 2 shows the equivalent electrical circuit of a typical PV module, where I is the output terminal current, IL is the light-generated current, Id is the diode current, Ish is the shunt leakage current, Rs is the internal resistance, and Rsh is the shunt resistance. I sc −Tr qVoc −Tr I o − Tr = e nKTr (5) −1 In (4) and (5), Vg is the band gap voltage, Voc-Tr is the open circuit voltage, and Isc-Tr is the short circuit current at rated operating conditions. The photocurrent IL in (3) is directly proportional to solar radiation level, G (W/m2), and can be expressed as, ( I L = I L −Tr 1 + α I sc (T − Tr ) ) (6) where, I L−Tr = G × I sc−Tr (7) Gr where, α Isc is the short circuit temperature coefficient. The open circuit voltage Voc which is sensitive to temperature can be also obtained as [9], ( Fig.2. Equivalent circuit of PV module Voc = Voc −Tr 1 − βVoc (T − Tr ) From Fig. 1, the output current, I of the PV module can be express as, I = IL − Id − Vo Rsh where Vo is the voltage on the shunt resistance. The diode current, Id can be obtain using classical diode current expression as [7], (2) III. IMPACTS OF LARGE GRID-CONNECTED PV SYSTEMS ON DISTRIBUTION SYSTEMS where Io is the saturation current of the diode, q is electron, n is curve fitting constant, K is Boltzmann constant, Tr is temperature on absolute scale and n is the ideality factor which its value is between 1 to 2. By substituting (2) in (1) and ignoring the last term, the output current, I can be rewritten as, ( ) I = I L − I o e q (V + IR s ) / nKTr − 1 By increasing the applicability of PV systems, the risk of operational problems for the distribution networks and their components has been increased. The severity of occurred problems directly depends on the PV penetration level and geography of the installation. The aim of this section is to introduce possible impacts which PV systems may impose to the system. (3) A. Inrush Current The small inevitable difference between the PV system and the grid voltages may introduce an inrush current which flows between the PV system and the utility grid at the connection time and decays to zero at an exponential rate. The produced inrush current may cause nuisance trips, thermal over stresses, and other problems [10]. where, the saturation current I0 at different operating temperatures can be calculated as [8], ⎛T I o = I o −Tr × ⎜⎜ ⎝ Tr 3 − qV g ⎞n ⎟⎟ × e nK × (1 / T −1 / Tr ) ⎠ (8) where, βVoc is the open circuit temperature coefficient. Using the provided coefficient by manufacturers and the mathematical equations (3-8), any PV module can be modelled for dynamic analysis. The produced DC voltage of PV module can be raised to any desired level using a DC-DC boost converter and MPPT technique can be used in the boost converter to efficiently control the produced power of PV arrays. The produced DC power is then converted to AC power using a three-phase three-level Voltage Source Converter (VSC) and injected to the system using a coupling transformer. (1) ⎡ qVoc ⎤ I d = I o ⎢e nKTr − 1⎥ ⎢ ⎥ ⎣ ⎦ ) (4) B. Safety One of the major concerns about the PV systems is the safety problem due to the unintended islanding at the and, 2 S1-1 2012 IEEE Student Conference on Research and Development create different solar irradiance for sunny and different cloudy weather conditions with slow and fast variations, as shown in Fig. 4. time of fault occurrence at the grid side. In this situation, the PV systems continue to feed the load even after the network is disconnected from the utility grid, which may lead to electric shock of workers [11]. C. Overvoltage Most of the times, PV systems are designed to operate close to unity power factor to make full use of solar energy. In this case, PV system only injects active power into the utility grid which may change the reactive power flow of the system. Therefore, voltages of nearby buses can be increased due to the lack of reactive power [12]. The produced overvoltage can have negative impacts on the stable operation of both utility and customer sides. D. Output power fluctuation The fluctuation of the output power of PV systems is known as one of the main factor that may cause severe operational problems for the utility network. The power fluctuation phenomenon occurs due to the variations in the solar irradiance caused by the movement of clouds and may continue for few minutes to hours depending on the wind speed, the type and size of passing clouds, and the area covered by and topology of the PV system. Power fluctuation may cause power swings in lines, over and under loading, unacceptable voltage fluctuations and voltage flickers [1]. Fig.3. Single-line diagram of the16 bus test system E. Harmonic Harmonic distortion is known as a serious power quality problem, which may occur due to the use of power inverters for converting DC current to AC current in PV systems. The produced harmonics can cause parallel and series resonances, overheating in capacitor banks and transformers and false operation of protection devices which may decrease the reliability of power systems [13]. Fig.4. Solar irradiance pattern The PV system starts to inject 600KW power, which is equal to 6% of the total load demands for the first penetration level at 350 milliseconds. In this situation, PV continues to feed loads with produced power under 1000 W/m2 solar irradiance until 560 milliseconds. The PV system then feed through solar irradiance with slow and fast variation at 560 and 1000 milliseconds, respectively. This scenario is repeated under medium and high PV penetration levels by injecting power of 1200KW (12% of the total load demands) and 1800 KW (18% of the total load demands), respectively. Fig. 5 shows the injected power by the PV system at bus 11 under three abovementioned penetration levels, where Fig. 6 through 11 show the effect of injected power of the PV system on active power, reactive power and power factor of the utility grid1and grid2 at bus 1 and 2, respectively. IV. SIMULATION RESULTS To investigate the various impacts of the gridconnected PV system on distribution systems, a modified 16 bus test system [14] shown in Fig. 3 is simulated using the Matlab/Simulink software. The system, which is fed through two 69 kV utility grids, consists of 8 loads with total power of 10 MVA and 0.8 power factor, and three inter-tie circuit breakers. In addition, a 1.8 MW gridconnected PV system, which consists of three 600 kW units, have been placed in bus 11 to provide required power for local loads and exchange the rest with the system. Two types of commercial PV array named SunPower SPR 305 [15] and Sanio HIP 225 [16] are modelled using the company data sheets and described equations in section 2. The produced DC voltage by each PV array is raised using a 5-kHzDC-DC boost converter and MPPT [17] is implemented in the boost converter to efficiently control the photovoltaic energy conversion. Furthermore, boosted DC voltage is converted to AC voltage using a three-phase three-level VSC. In this analysis, the required information related to solar irradiance under different weather conditions during a year are collected from the MMD [18] and mixed to 3 S1-1 2012 IEEE Student Conference on Research and Development Fig.9. Utility grid2 reactive power at bus 2 Fig.5. Injected power by PV system at bus 11 As shown in Fig. 5 through 9, by increasing the penetration level of the PV system, a portion of consumed active power by the loads are covered by the PV system, while the reactive power consumption has still to be provided by utility grids. Therefore, the power factors of the grids decrease up to 70% at 1000 W/m2 solar irradiance. It should be noted that when the irradiance is low, the produced active power of the PV unit is low. In this situation, PV unit has to draw a very small amount of reactive power from the system due to the occurrence of a small difference between the line voltage and the reference voltage in PV controller. As the penetration level of the PV system and resultantly the produced active power increases, the system voltage increases as shown in Fig. 10. From Figs. 5 and 10, by increasing the injected active power of the PV unit at sunny weather condition and high penetration level, the voltage magnitude at bus 6 increases over 1.06 pu which is considered as over voltage based on the IEEE Std 1159-2009 [19]. Fig. 10 also demonstrated that voltage flicker is occurred at 1000 milliseconds due to the fast power fluctuation of PV unite under cloudy weather condition, and Fig. 11 shows the measured flicker index ( ΔV / V ) at bus 6 which in worst condition exceeds over 6% that exceed the IEEE std 519 limits [20]. Fig.6. Utility grid1 active power at bus 1 Fig.7. Utility grid1 reactive power at bus 1 Fig.10. System voltage magnitude at bus 6 Fig.8. Utility grid2 active power at bus 2 4 S1-1 2012 IEEE Student Conference on Research and Development TABLE I CURRENT HARMONIC SPECTRUM AT PV TERMINAL Frequency (Hz) 50 100 150 200 250 300 350 400 450 500 550 600 650 700 750 800 850 900 950 Fig.11. Measured flicker index at bus 6 The occurred power fluctuation and voltage variation which are harmful for sensitive loads also caused a slight variation in total active and reactive power demands from loads as shown in Fig. 12 and 13, respectively, and these variations may cause cables and transformers overloading. Magnitude (%) 100.0 0.60 0.83 0.33 1.40 0.56 1.48 0.48 0.24 0.25 0.46 0.47 0.82 0.39 0.28 0.51 0.29 0.59 0.62 Angle (degree) 0.0 -23.4 160.0 244.1 -40.3 44.4 11.6 -2.8 269.5 65.4 31.6 261.2 -41.9 179.2 -84.1 241.2 -33.1 183.5 253.1 V. CONCLUSION This paper presents a study on the impacts of high penetrated grid-connected PV systems on power quality in distribution systems. All information related to modelling of PV units and solar irradiances are collected from different solar panel producers and the Malaysian Meteorological Department (MMD), respectively. 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