Application of a simplified Grey Wolf optimization technique for adaptive fuzzy PID controller design for frequency regulation of a distributed power generation system

Abstract A Simplified Grey Wolf Optimizer (SGWO) is suggested for resolving optimization tasks. The simplification in the original (GWO) method introduced by ignoring worst category wolves while giving priority to better during search process. advantage of presented SGWO over GWO a solution taking less execution time and demonstrated unimodal, multimodal, fixed dimension test functions. results are also contrasted Gravitational Search Algorithm, Particle Swarm Optimization, Sine Cosine Algorithm this shows superiority proposed technique. Practical application Distributed Power Generation System (DPGS) with energy storage then considered designing an Adaptive Fuzzy PID (AFPID) controller using frequency control. DPGS contains renewable generation such as photovoltaic, wind, elements battery flywheel, addition plug-in electric vehicles. It that superior optimal design task. seen based AFPID highly efficacious regulating compared standard controller. sensitivity study performed examine impact unpredictability parameters investigated system on performance. Finally, novelty paper comparing existing publications extensively used two-area system.