Distributed generation system control strategies with PV and fuel cell in microgrid operation |
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| Affiliation: | 1. Lamar Renewable Energy Microgrid Laboratory, Department of Electrical Engineering, Lamar University (A Texas State University), United States;2. Department of Biology, Lamar University (A Texas State University), United States;3. Department of Chemical Engineering, Lamar University (A Texas State University), United States;1. Department of Energy Systems Engineering, Yalova University, Yalova, Turkey;2. Department of Electrical Engineering, Kocaeli University, Kocaeli, Turkey;3. Department of Electrical Engineering, Beni-Suef University, Beni-Suef, Egypt;1. School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China;2. College of Electrical & Information Engineering, Southwest Minzu University, Chengdu 610000, China;3. Energy Research Institute, National Development and Reform Commission, Beijing 100038, PR China;4. Academy of Macroeconomic Research, National Development and Reform Commission, Beijing 100038, PR China;1. Faculty of Postgraduate Studies for Advanced Sciences, Beni-Suef University, Beni-Suef 62511, Egypt;2. College of Engineering at Wadi Addawaser, Prince Sattam Bin Abdulaziz University, Saudi Arabia;3. Electrical Engineering Dept., Faculty of Engineering, Minia University, Egypt;4. Dept. of Sustainable and Renewable Energy Engineering, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates;5. Center for Advanced Materials Research, University of Sharjah, PO Box 27272, Sharjah, United Arab Emirates;6. Chemical Engineering Department, Faculty of Engineering, Minia University, Egypt |
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| Abstract: | Control strategies of distributed generation (DG) are investigated for different combination of DG and storage units in a microgrid. In this paper the authors proposed a microgrid structure which consists of a detailed photovoltaic (PV) array model, a solid oxide fuel cell (SOFC) and various loads. Real and reactive power (PQ) control and droop control are developed for microgrid operation. In grid-connected mode, PQ control is developed by controlling the active and reactive power output of DGs in accordance with assigned references. Two PI controllers were used in the PQ controller, and a novel heuristic method, artificial bee colony (ABC), was adopted to tune the PI parameters. DGs can be controlled by droop control both under grid-connected and islanded modes. Droop control implements power reallocation between DGs based on predefined droop characteristics whenever load changes or the microgrid is connected/disconnected to the grid, while the microgrid voltage and frequency is maintained at appropriate levels. Through voltage, frequency, and power characteristics in the simulation under different scenarios, the proposed control strategies have demonstrated to work properly and effectively. The simulation results also show the effectiveness of tuning PI parameters by the ABC. |
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| Keywords: | Distributed generation PV SOFC Microgrid Droop control PQ control Artificial bee colony (ABC) Heuristic optimization |
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