Antlion optimizer-ANFIS load frequency control for multi-interconnected plants comprising photovoltaic and wind turbine.
作者： Ahmed Fathy , Ahmed M. Kassem
DOI: 10.1016/J.ISATRA.2018.11.035
关键词:
摘要: This paper proposes optimal load frequency control (LFC) designed by Adaptive Neuro Fuzzy Inference System (ANFIS) trained via antlion optimizer (ALO) for multi-interconnected system comprising renewable energy sources (RESs). Two systems are modeled and investigated; the first one has two plants of grid connected photovoltaic (PV) with maximum power point tracker (MPPT) thermal plant while second comprises four thermal, wind turbine PV systems. ALO is employed to get gains Proportional-Integral (PI) controller such that integral time absolute error (ITAE) tie line deviations minimized. The input output optimized PI used train ANFIS-LFC Gaussian surface membership functions. Different disturbances studied results compared other reported approaches. obtained confirmed accuracy reliability proposed approach in designing LFC
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