Optimal placement of charging stations using CSO-TLBO algorithm

The growing apprehension regarding greenhouse gas emission accompanied by fossil fuel depletion has instigated the electrification of transportation sector. As a consequence of this Electric Vehicle (EV) has emerged as an environment friendly solution for the automobile industry. For large scale deployment of EVs development of proper charging infrastructure is indispensable. Charging stations (CS) must be placed in the transport network in such a way that the distribution network parameters are least affected. This work proposes a novel approach for co-ordinated planning of EV charging infrastructures considering superimposition of both transport and distribution network. This approach is validated on IEEE 33 bus distribution network superimposed with 25 node road network. The capability of a new hybrid algorithm which is an amalgamation of Chicken Swarm Algorithm (CSO) and Teaching Learning Based Optimization Algorithm (TLBO) is utilized in this work for attaining optimal solution.