International Research Journal of Education and Technology

The Microgrids, known for their integration of renewable energy sources, have become pivotal in ensuring sustainable and efficient energy use. However, balancing economic and environmental objectives, such as reducing generation costs while minimizing emissions, remains challenging. The proposed DSM-based methodology offers a systematic and modular framework to optimize energy dispatch by representing dependencies and constraints in an organized matrix format. This approach effectively decomposes problem-solving, and facilitates real-time decision-making in microgrid operations. The performance of the DSM-based method is validated through simulations on a representative microgrid model incorporating renewable energy sources, conventional generators, and battery storage systems. Results demonstrate improved computational efficiency and effective trade-offs between cost minimization and environmental impact, highlighting the potential of this method to enhance the operational sustainability of microgrid systems.

Key Words: Dependency Structure Matrix (DSM) Economic Dispatch (ED) Microgrid Systems Environment-Constrained Optimization Renewable Energy Integration Cost Minimization Emission Reduction Energy Management Optimization Techniques Distributed Energy Resources (DERs)