A Fruit Fly Optimization Novel Algorithm to Plan a Power Distribution Network for Electric Vehicle Charging Stations

When massive Electric Vehicle (EV) charging stations are integrated into the power grid, the local distribution network will be dramatically affected. Therefore, a scientific and rational planning of the Power Distribution Network Structure (PDNS) should take full account of the integration of EV Charging Station (EVCS). In order to solve this problem, firstly, the objective function of PDNS is established considering the EVCS siting and sizing from the aspect of: i) minimizing the distribution network investment cost, ii) charging station investment and operation cost, and iii) the power loss cost. Secondly, we propose a new Quantum Fruit fly Optimization (QFOA) Algorithm to improve the optimization ability of the algorithm. Finally, two cases studies are carried out to verify the novel method. The results show that the proposed model converges faster and has better searching ability than that of the basic FFOA and other conventional algorithms.