Multi-objective Optimal Planning of Distributed Energy Resources Using SPEA2 Algorithms Considering Multi-agent Participation

Abstract

The distributed generation resources are expected to largely transform the future operation of distribution systems. However, there is high perception for wider integration considering how evenly the distributed generation resources benefit are distributed among various agents in the power sector. This study presents a multi-objective planning of Distributed Generation to determine the best options for siting and sizing and different types of Distributed Energy Resources (DER) considering multi-agent participation. The developed multi-objective optimization method adopts the Strength Pareto Evolutionary Algorithm 2 (SPEA 2) technique, with the objective to promote and distribute benefits of Distributed Energy Resources among participating agents such as Distribution Network Operators and Distributed Generation Developer, and with the expectation that the prospective benefits from the distributed resources will speed up the current regulatory proposal updating in the electric sector.