Tuning of 2DOFPID controller for autonomous hybrid power system: A multi objective optimization approach

Abstract

This paper explores the design and performance analysis of the Two degree of freedom PID (2DOFPID) controller for Automatic Generation Control (AGC) of an interconnected Autonomous power system. The Autonomous power system comprises of thermal generation unit and Distributed generation (DG) resources. The DG system consists of a Wind turbine generator, Solar PV system, Diesel engine generator, Fuel cell with Aqua electrolyzer and Energy storage like Battery energy storage system. Recently proposed Salp swarm algorithm (SSA), Grasshopper optimization Algorithm (GOA), and Ant lion Optimzer (ALO) algorithm based on Multi objectives are used to obtain an optimal values of the controller and their performances are compared with the most popular swarm intelligent technique like Particle swarm optimization (PSO). Three different case studies with variant set of disturbances are carried out in simulation studies. The comparitive results illustrated the superiority and efficacy of the SSA alogorithm in obatining the objectives of AGC over other algorithms.