Design of adaptive PI-like fuzzy logic controller for STATCOM using a hybrid meta-heuristic algorithm

Mohammad Mehdi KARAMI, Akbar Itami KARIN
1.600 470

Abstract


Abstract. The objective of this paper is to design an adaptive PI-like Fuzzy Logic Controller (FLC) based on sugeno method for a Static Synchronous Compensator (STATCOM) for improving voltage at the point of common coupling (PCC) of Doubly Fed Induction Generator (DFIG)-based wind farms with grid. A hybrid algorithm based on Genetic and Particle Swarm Optimization (GAPSO) has been utilized to train the parameters of the rules and Membership Functions (MFs) and output scaling factor of the fuzzy controller. Simulation results show that the STATCOM based PI-like FLC with tuning its parameters has the better performance than conventional PI controller and PI-like FLC in improving the voltage at the PCC.


Keywords


STATCOM, PI-like fuzzy logic controller, Particle Swarm Optimization, Genetic Algorithm, hybrid algorithm

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References


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