management of distributed energy resources for reducing environmental pollution and enhancing economic efficiency

Today, energy management in a microgrid requires development to improve the management of produced and consumed energy while maintaining network balance on both supply and demand sides. this paper proposes an optimal method to reduce microgrid costs, incorporating a diesel generator, wind unit, solar panel, combined heat and power (chp) unit, and battery storage. the proposed method is solved optimally using the particle swarm optimization (pso) algorithm. the main objectives of this research include reducing the costs of distributed generation resources, minimizing environmental pollution in the microgrid system, and enhancing network efficiency. to demonstrate the positive impact of the proposed method, various tables and charts related to network requirements, solar radiation angle, and wind speed are utilized. by implementing the proposed method in hybrid microgrids using matlab software, the effectiveness of the optimization approach is shown, achieving a 39% reduction in environmental pollution and a 23% reduction in fuel consumption in the optimal state.