Fuzzy PID Plus Double Integral Controller for Multi Area Deregulated Hybrid Power System using Multi Objective SSA

Abstract

 This paper is intended for investigating the Load frequency Control (LFC) problem of a three area interconnected thermal power system integrated with Distributed Generation (DG) resources under deregulated environment using optimal Fuzzy PID plus double integral (FPID-II) controller. The DG system consists of Wind turbine generator, Solar PV system, Diesel engine generator, Fuel cell with Aqua electrolyzer and Energy storage like Battery energy storage system. To solve LFC problem the parameters of FPID-II controller are tuned with bio-inspired Salp swarm algorithm (SSA) based on Multi objective approach. In each area, FPID-II controller is established which minimises the frequency deviation of that respective area and tie line power changes under a deregulated environment considering different market transactions.  The superiority of proposed (FPID-II) controller has shown by comparing the dynamic performances with nominal PI, PID and Two degree of freedom PID (TDOFPID) controller. Furthermore, the responses of the proposed FPID-II controller using SSA are evaluated with the Grasshopper optimization algorithm (GOA), Antlion optimizer (ALO), Dragonfly algorithm (DA) and Particle swarm optimization (PSO) controllers to illustrate its effectiveness. Investigation reveals that SSA tuned FPID-II controller is robust and delivers better responses in all loading aspects.