Energy Resource Scheduling in Microgrid-Integrated Power Distribution Systems to Minimizing Grid Dependence

Distributed energy resources are beneficial to power distribution systems since they reduce system losses, operating costs, and environmental emissions. Proper scheduling of DERs is essential in improving system performance and minimizing grid dependency. This research proposes an algorithm for scheduling the output of PVs, wind turbines, and energy storage in a microgrid-integrated power distribution system. Although PV and wind turbines have inconsistent power generation due to their intermittent nature and geographic limitations, proper scheduling can make them more sustainable and reliable. Energy storage will improve the scheduling process such that less power can be drawn to the load from the grid. A traditional heuristic optimization algorithm, Particle Swarm Optimization (PSO), is applied in this research. In addition, the popular Newton-Raphson method is utilized to analyze the load flow. The results show that proper scheduling between DERs and the grid improves the operational performance of microgrid-integrated power distribution systems.