Optimizing Grid-Connected Microgrid Energy Management Through Advanced Heuristic Algorithms

In response to the urgent need for renewable energy development and variability management due to escalating population growth, rising energy demands, and diminishing natural reserves, this research focuses on optimizing energy management within a grid-connected microgrid. The study uniquely employs advanced heuristic algorithms to define system choices and constraints, achieving significant improvements in energy efficiency and cost reduction. Utilizing Matlab Simulink and Stateflow environments, various simulation scenarios are explored to demonstrate the benefits of the proposed approach, including enhanced stability and reliability of the energy supply. The findings highlight the potential for significant advancements in microgrid energy management through innovative algorithmic strategies.