Quasi-oppositional dragonfly algorithm: applied for frequency regulation of an isolated hybrid energy distributed power system

Abstract

The work described herein has aimed to deal with the frequency instability problem of an isolated hybrid energy distributed power system (IHEDPS), caused by random and rapid changes in load demand. The IHEDPS model undertaken for the present study comprises a wind turbine generator (WTG), diesel engine generator (DEG), and capacitive energy storage system (CESS). A proportional-integral-derivative controller with a derivative filter (PIDF) is employed as a load frequency controller (LFC) to cope up with the intermittent behavior of wind power and load demand. The quasi-oppositional dragonfly algorithm (QODA) is applied for fine-tuning of PIDF and CESS parameters. The ascendency of QODA optimized PIDF-controller in damping of system oscillations has been realized and compared with the results offered by optimal controller and other controllers available in the state-of-art. The presented results show that least variation in frequency and power has been attained with the proposed QODA optimized PIDF-controller. The performance of the designed controller has also been studied under time-varying load perturbation.