New Technique for Optimal Capacitor Placement and Sizing in Radial Distribution Systems

In this paper, a new hybrid technique involves a fuzzy expert system and multi-verse optimizer approach is proposed for optimal locations placement and sizing of capacitors in a radial distribution system. First, the locations of the shunt capacitors placement are specified using the fuzzy expert system. Then, the multi-verse optimizer approach is employed to find the size of these capacitors. The objective function is modeled to reduce the system power loss and consequently to increase the net saving as well as voltage profile improvement. The suggested technique is tested on an IEEE 33-nodes test system level of a smart grid. The obtained results via the proposed technique are compared with another algorithm such as Particle Swarm Optimization to emphasize the benefits of this technique. Moreover, the results are introduced to verify its' effectiveness in minimizing the losses, enhancing the voltage profile, and maximizing the net saving.