Optimal coordinated operation scheduling for electric vehicle aggregator and charging stations in integrated electricity transportation system using hybrid technique

Abstract

• Electric Vehicle (EV) based Grid connected with Distributed Generation (DG). • Artificial longicorn transgender algorithm (ATLA) and Water strider algorithm (WSA). • To lessen the peak power shaving, voltage controlling, and spinning reserve. • ATLA-WSA acquires the least annualized costs. • Every EVCS gather information for electric vehicles using ATLA-WSA technique. The interdependences between electric power systems and transportation systems are becoming increasingly tight as the market share of electric vehicles keeps booming. Therefore, improving the operation performance of power system and transportation system as an integrated system becomes a critical issue. In this manuscript, a hybrid technique is proposed to Electric Vehicle (EV) based Grid connected with Distributed Generation (DG). The proposed hybrid technique is the joint implementation of artificial longicorn transgender algorithm (ATLA) and Water strider algorithm (WSA); hence it is named hybrid ATLA-WSA technique. The main aim of this work is “to lessen the peak power shaving, voltage controlling, and spinning reserve. Moreover, the ATLA-WSA technique is proficiently handle by off-the-shelf commercial solvers and allocation modes, and then acquires the least annualized costs. When EV arrived in the charging station, the EVCS operator offers own energy requirement with predictable departure time. With the help of ATLA-WSA technique, every EVCS can gather the information for all electric vehicles. The proposed technique is activated in MATLAB/Simulink; its performance is analyzed with other existing techniques. From the analysis, the outcomes show the operating cost of the proposed system is $ 481.23 and the profit is $ 112.45.