Probabilistic Wavelet Fuzzy Neural Network based reactive power control for grid-connected three-phase PV system during grid faults |
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| Affiliation: | 1. Institute of Refrigeration and Cryogenics, Research Center of Solar Power and Refrigeration, M.O.E, Shanghai Jiao Tong University, Shanghai, China;2. Norwegian University of Science and Technology, Trondheim, Norway;1. Center of Operations Research, Miguel Hernández University of Elche (UMH), Avd. de la Universidad s/n, 03202, Elche, Alicante, Spain;2. Industrial Electronics Group, Miguel Hernández University of Elche (UMH), Avd. de la Universidad s/n, 03202, Elche, Alicante, Spain;1. Department of Analytical Chemistry, Faculty of Chemistry, Urmia University, Urmia, Iran;2. Membrane Research Laboratory, Lorestan University, Khorramabad, P.O. Box 68137-17133, Iran;3. Department of Agricultural Machinery, Faculty of Agriculture, Urmia University, Urmia, Iran;1. Universidade Federal do ABC, UFABC, Santo André, Brazil;2. Universidade Federal da Bahia, UFBA, Salvador, Brazil;1. Department of Mechanical Engineering, University of Ataturk, 25240 Erzurum, Turkey;2. Faculty of Mechanical Engineering, University of Tabriz, Iran;3. Faculty of Engineering and Applied Science, University of Ontario Institute of Technology, 2000 Simcoe Street North, Oshawa, Ontario, L1H 7K4, Canada;4. Institute for Energy Engineering, Technische Universität Berlin, Marchstr 18, 10587 Berlin, Germany |
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| Abstract: | This study presents a reactive power controller using Probabilistic Wavelet Fuzzy Neural Network (PWFNN) for grid-connected three-phase PhotoVoltaic (PV) system during grid faults. The controller also considers the ratio of the injected reactive current to meet the Low Voltage Ride Through (LVRT) regulation. Moreover, the balance of the active power between the PV panel and the grid-connected inverter during grid faults is controlled by the dc-link bus voltage. Furthermore, to reduce the risk of over-current during LVRT operation, a current limit is predefined for the injection of reactive current. The main contribution of this study is the introduction of the PWFNN controller for reactive and active power control that provides LVRT operation with power balance under various grid fault conditions. Finally, some experimental tests are realized to validate the effectiveness of the proposed controller. |
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| Keywords: | Grid faults Low voltage ride through Maximum power point tracking Photovoltaic system Probabilistic wavelet fuzzy neural network |
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