PROJECT TITLE :

Simultaneous Reconfiguration, Optimal Placement of DSTATCOM, and Photovoltaic Array in a Distribution System Based on Fuzzy-ACO Approach

ABSTRACT:

During this paper, a combination of a fuzzy multiobjective approach and ant colony optimization (ACO) as a metaheuristic algorithm is employed to resolve the simultaneous reconfiguration and optimal allocation (size and location) of photovoltaic (PV) arrays as a distributed generation (DG) and distribution static compensator (DSTATCOM) as a distribution flexible ac transmission system (DFACT) device in an exceedingly distribution system. The purpose of this research includes loss reduction, voltage profile (VP) improvement, and increase in the feeder load balancing (LB). The proposed methodology is validated using the IEEE thirty three-bus check system and a Tai-Power eleven.4-kV distribution system as a true distribution network. The results proved that simultaneous reconfiguration and optimal allocation of PV array and DSTATCOM unit ends up in considerably reduced losses, improved VP, and increased LB. Obtained results have been compared with the base price and located that simultaneous placement of PV and DSTATCOM along with reconfiguration is additional useful than separate single-objective optimization. Additionally, the proposed fuzzy-ACO approach is a lot of correct as compared to ACO and different intelligent techniques like fuzzy-genetic algorithm (GA) and fuzzy-particle swarm optimization (PSO).


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