Optimal Reliable Electrical Vehicles Charging Stations Applying Grey Wolf Technique

This paper presents an efficient Grey Wolf optimization technique to solve the Electrical Vehicles Charging Stations (EVCS) allocation problem in radial feeders for reliability enhancement. Energy not supplied is a reliability objective resolved to apply the Grey Wolf optimization method. Modeling and allocating the EVCS is a challenging task in the distribution network as per the growing use of Electric vehicles (EVs) due to the massive demand for electrical energy. Siting of EVCS greatly impacts the system losses of the distribution network. Based on component reliability data and system topology, distribution system reliability assessment can predict the interruption profile of a distribution network. EVCS is being adopted in distribution networks taking into consideration the state of charge of the vehicle battery. Grey Wolf optimization technique is proposed to obtain EVCS optimal location for reliability improvement. The effectiveness of the proposed objective function has been studied on standard test distribution systems (IEEE 69 bus radial distribution systems).