Multi-objective EV charging stations planning based on a two-layer coding SPEA-II

Electrification of the transportation sector is gradually becoming a global trend due to the environmental benefits from electric vehicles (EVs). This efficient transport module greatly reduce the pollutant emissions, the burden on fuel expenses and uncertain matters associated with fossil fuel resources, which leads to a great likelihood of increasing the PV penetration levels in the next decades. Public fast EV charging station is definitely one of the essential infrastructures in developing the EV industry. A multi-objective EV charging station layout planning model that considers several potential factors is proposed in this paper, which takes economics, environment and convenience factors into consideration. Besides, an improved Strengthened Pareto Evolutionary Algorithm-II (SPEA-II) optimizer is also studied to obtain a satisfactory Pareto solution for decision maker's choice. Numerical case study shows that the method proposed in this paper can find a satisfactory EV charging station layout planning scheme within an acceptable computational cost.