Robust DC Voltage Regulation Under Load Variations in Renewable Microgrids: A Hybrid GWOPSO and ALO Algorithm Comparative Study

Abstract

The energy management system is essential to ensure the balance of the electrical network, in particular in the face of fluctuations in the production of renewable energy and electricity demand. This paper proposes an optimized PID controller based on hybrid metaheuristic GWOPSO. The microgrid associates renewable energies, and battery. The main objective of the optimization using the GWOPSO is to improve the DC voltage, which is compared to the battery current for building the modulator of the buck boost converter. The proposed control strategy optimally coordinates power source transitions between the PV array and battery storage, while favoring wind turbine generation as the primary supply. MATLAB simulations validate the approach's effectiveness in maintaining stable microgrid operation across diverse load and generation scenarios.The results obtained show the response of PSOGWO is faster than ALO response implemented with two objective functions with a rise time equal to 0.0590 s against 0.0658 s and 0.0619 s.