Multiobjective Locating and Sizing of Multiple Distributed Energy Resources via Shuffled Frog Leaping Algorithm

Several benefits can be gained from implementation of Distributed Energy Resources (DERs) in distributed systems. This paper proposes the application of Shuffled Frog Leaping Algorithm to optimally determination the location and size of multiple DERs considering a multi-objective benchmark. Several objectives including loss minimization, reduction in power purchased from the network and upgrade investment deferral are considered as advantages of DER implementation in this study. Moreover, the impact of these resources on voltage profile of the network is investigated. The cost of installation of DERs is also considered to compare the benefits versus the costs of DER application. The proposed method is carried out on the IEEE 30-bus radial standard distribution test system. The obtained results are presented in detail to show the benefits of installation of DER units in the distribution network. Results also demonstrate the effectiveness of the proposed approach in finding the best location and optimal size of multiple DR units.