Demand Potential Analysis of Charging Stations Considering Reliability Based on Multi-Attribute Decision-Making

With the development of electric vehicles (EVs), the rapidly increasing EV charging demand has brought new prospects for the energy markets. This paper proposes a demand potential valuation model with distribution network (DN) reliability considered. Based on the valuation model, charging service operators (CSOs) can identify high-quality charging stations which are recommended for further investment. Firstly, the criterion weight is calculated based on the information entropy theory, which integrates the subjective judgments from the analytic hierarchy process (AHP) and the data variation calculated by the entropy weight method (EWM). Then, the combination of the improved technique for order preference by similarity to an ideal solution and improved gray correlation (ITOPSIS-IGC) method is proposed to rank all charging stations. Besides, the criterion system is introduced to describe the performance of charging stations. Finally, case studies are carried out to show the feasibility of the proposed valuation method and select the charging stations with the most prospective demand potentials.