Control of photovoltaic-wind energy systems using MPC and PSO

Abstract

The integration of renewable energy sources, particularly photovoltaic (PV) and wind energy, presents significant challenges due to their inherent variability and nonlinear dynamics. This chapter introduces a novel hybrid energy system that combines PV and wind power, managed by an advanced control strategy that integrates model predictive control (MPC) with particle swarm optimization (PSO). The MPC&PSO approach is designed to optimize power output and ensure the stability of the system under dynamic environmental conditions.