Robust Control of Integrated Renewable Energy Systems

Abstract

The requirement of electricity generated from renewable energy resources are growing in the present era. Renewable energy systems reduce environmental pollution and greenhouse effects. Renewable energy resources generate power and are interconnected to the power grid through conventional means. These energy systems supply power to remote as well as urban areas. Particle swarm optimization (PSO) is an artificial intelligence technique utilized to perform an optimal search for controller parameters that can mitigate oscillations and improve power system stability. This paper presents PSO optimized PID/FUZZY controller design for a fuel cell integrated with the grid. The simulation results of integrated system illustrate the efficacy of the proposed scheme.