Enhancing Reconfigured Radial Distribution Networks: Fuzzy Multi-Objective Optimization for Optimal Deployment of Distributed Generators and Shunt Capacitors

Distribution systems are undergoing huge stress as load demands are rising continuously, resulting in various challenges such as enhanced line losses, frequent voltage fluctuations etc. To alleviate these issues, in this study, performance evaluation of simultaneous optimal deployment and sizing of shunt capacitors and distributed generators (DGs) in an optimally reconfigured radial distribution system (RDS) is presented. A maiden application of artificial hummingbird algorithm for solving the adopted case study is carried out subject to the fulfillment of a well-defined combined fuzzified-objective function comprising of line loss reduction, power factor improvement, and voltage deviation reduction considering DG penetration limit. Results obtained conclude that the proposed approach offered quick convergence and the best results over the others for all the studied combinations of the multi-unit model tested over standard IEEE 69-bus and 118-bus RDS.