Minimizing Power Loss in V2G Integration using PSO based Aggregator

Abstract

 Vehicle to Grid (V2G) is absolutely part of the budding smart grid technology. If the charging and discharging between electric vehicles (EV) and grid are not coordinated, it will either increase peak demand and leads to grid problems or affect the load pattern of electric vehicle. Also uncoordinated charging/discharging will increase the losses in the electrical network. For a full exploitation of V2G potentialities, the role of the aggregator is essential to create value to customers by offering services to the distribution system operator. In this paper, the authors propose evolutionary algorithms such as particle swarm optimization (PSO) and evolutionary particle swarm optimization (EPSO) for optimizing the control strategy of the aggregator to minimize the joule loss in the network. IEEE 33 bus radial distribution system is modeled in MATLAB environment to implement the V2G integration concept. It is found that the loss in the distribution system is minimized with the proposed optimization methods. Also it is identified from the results that, the EPSO provides better solution with satisfactory execution time for the proposed problem.