ADAPTIVE POWER COORDINATION FOR RENEWABLEINTEGRATED GRID MICROGRIDS USING INTELLIGENT OPTIMIZATION

Abstract

Energy management in grid-connected microgrids is essential for achieving efficient, reliable, and economical operation of distributed energy resources. This study presents an intelligent energy management approach for a grid-connected microgrid integrating renewable energy sources, energy storage systems, local loads, and the utility grid. The proposed framework uses intelligent decision-making techniques to continuously monitor power generation, energy demand, battery state of charge, electricity prices, and grid conditions. Based on these parameters, the system determines suitable power flow and energy scheduling strategies to improve renewable energy utilization while reducing energy costs and unnecessary power exchange with the main grid. The intelligent controller also supports effective battery charging and discharging and maintains the balance between generation and consumption. The proposed approach can enhance microgrid stability, operational efficiency, and reliability under varying load and renewable generation conditions. The framework provides a flexible solution for modern microgrids and can contribute to reduced energy consumption, improved renewable integration, and more sustainable power management.