Determination of Optimal Droop Controller Parameters for an Islanded Microgrid System Using Artificial Fish Swarm Algorithm (AFSA)
نویسندگان
چکیده
E-mail address: [email protected]; [email protected] Abstract This article presents the development of an optimized droop controller of microgrid during islanding using artificial fish swarm algorithm (AFSA). This is necessary in order to minimize the frequency deviation that occurs when microgrid switches to stand-alone mode or when there are changes or variation in loads. The optimized droop controller was developed using AFSA to optimally select the gainskp, kpv, kiv, kpi and kii in order to achieve a better response in the frequency output of the micro-grid during islanding. All modeling and analysis are implemented in MATLAB 2015b. Simulation results show that the proposed optimized droop controller improves the power quality of the micro-grid by ensuring that the deviation in frequency whenever the micro-grid switches to island mode or when there is variation in load is minimal.
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