Optimal Power Dispatch of Distributed Energy Resources in Unbalanced AC Microgrid Considering Load and Generation Uncertainties

Distributed Energy Resource (DER) scheduling is usually performed while considering lumped load models in an unbalanced distribution system (UDS). However, it is not necessary that lumped load models represent the actual characteristics of the distribution system. Therefore, in this paper, DERs scheduling is performed while considering time-varying loading characteristics of each phase of UDS. Grasshopper Optimization Algorithm (GOA) is used to optimize the performance of UDS. The proposed methodology is implemented on IEEE 37 node feeder, and its comparison with recent studies demonstrates the effectiveness of the approach.