Intelligent energy management for wind-integrated microgrids using multi-agent systems

Abstract

This study proposes an innovative technique for energy management in hybrid microgrid systems using intelligent agent-based control approach. The hybrid microgrid architecture integrates multiple distributed energy resources, including wind turbines and photovoltaic arrays, to enhance overall operational efficiency. A lithium-ion battery energy storage system is incorporated to ensure system stability, while proton exchange membrane fuel cells (PEMFC) function as a reliable backup mechanism to mitigate power outages and improve system resilience. The deployment of intelligent agents facilitates the optimal coordination and management of energy generation and storage components, enabling seamless and adaptive system operation. To evaluate the efficacy of the proposed approach, a comprehensive simulation model was developed in Matlab/Simulink, incorporating realistic load profiles and meteorological conditions. The simulation results demonstrate the robustness and precision of the multi-agent Energy Management System (EMS) in regulating DC bus voltage, maintaining AC bus frequency stability, and optimizing power flow throughout the microgrid infrastructure.