Optimal Placement of EV Fast Charging Stations and Distributed PV/BESS in Power Distribution System based on Minimized Power Loss

The growing number of electric vehicles in the current transportation sector, which are becoming more and more common, is beginning to lead to a shift away from fossil fuels. However, it is primarily through coordinated and rapid EV fast charging stations (FCS) growth. It is challenging to integrate FCSs into a modern distribution network where there has been an increase in random PV/BESS systems, leading to excessive power loss and voltage fluctuations that are out of line with accepted limits. The optimal placement of FCSs in the distribution network with high frequencies of distributed PV/BESS systems is proposed in this paper using a genetic algorithm optimization technique (GA). To minimize active and reactive power loss, average voltage deviation, and maximum voltage stability index, the optimization problem is formulated as a multi-objective problem. The FCS load model expresses the advantages of the properties of GA optimization techniques. The simulated results on distribution networks for IEEE 33 Bus and IEEE 69 Bus test systems illustrate the proposed methodology benefits over the more traditional objective-based simulated optimization approach. On the distribution system's performance, the impact of the rise in EV demand and the impact of uncertainties in PV/BESS and distribution system load are shown. The efficiency of the suggested strategy has been verified in 3 distinct scenarios using various distribution network systems. The collected findings demonstrate the proposed strategy's effectiveness and performance in distribution network reconfiguration with optimum FSC and PV/BESS problem placement and size issues.