Optimizing Microgrid Energy Management: Intelligent Techniques

Advanced methodologies like Artificial Intelligence (AI), Consensus Algorithms (CA), and Model Predictive Control (MPC) significantly enhance Microgrid Energy Management (MG EMS). This study highlights how these technologies boost the effectiveness, durability, and eco-friendliness of decentralized energy systems. AI is used for predictive maintenance, demand forecasting, and anomaly detection. CAs facilitate decentralized decision-making among distributed energy resources, as shown through case studies. MPC optimizes energy generation, storage, and consumption using real-time data and predictive models, improving grid stability and economic efficiency. These intelligent methods help MG operators manage modern energy systems, promoting sustainable energy integration and cost optimization. The evolving global energy landscape is expected to benefit greatly from these advancements in MG technology.