Reliability and Cost Minimization of Renewable Power System with Tunicate Swarm Optimization Approach Based on the Design of PV/Wind/FC System

Abstract

A hybrid control scheme for power system reliability of hybrid renewable energy sources (HRES) such as solar photovoltaic-wind energy and hybrid fuel cell is presented in this paper. The proposed hybrid control scheme is joint execution of Tunicate Swarm algorithm (TSA). Here, the TSA is used to diminish the cost function and exploit the power system reliability. The major purpose of this work is to diminish the cost in numerous conditions, as wind power, photovoltaic and fuel cell. Here, the TSA technique is trained on inputs such as earlier instantaneous energy of the available sources. The TSA control system creates the gain parameters deliver the optimal control signal and achieve the RES power. Then, the proposed scheme is performed on MATLAB/Simulink platform. The behavior of proposed scheme is related with existing schemes as MA-RBFNN. The efficiency of the DE, NSGA-II, NSGA-III, MA-RBFNN and proposed technique is 82.136%, 77.26588%, 80.7532%, 97.52470% and 97.83099%.