Optimization of Distributed Energy Resources using Artificial Physics Algorithm

Presence of distributed energy resources (DERs) in the case of proper planning can help to improve the technical and economic parameters of the system in distribution networks. In recent years, several algorithms and indices for optimal distributed generation planning with multiple objectives have been presented. In this paper, optimal placement and sizing of distributed generation sources with the aim of reducing the costs of the network's losses, DERs installation and operation cost using artificial physics optimization (APO) algorithm has been studied. The simulation has been implemented on the IEEE 69-bus distribution test system. Obtained results indicate the successful performance of the proposed algorithm