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Keywords

electric vehicle; user credibility; indicator weight; T-spherical fuzzy number; orderly scheduling

Abstract

Grid dispatch centers can achieve orderly dispatch of electric vehicle (EV) demand response by signing demand response agreements with EV users. However, EV users may violate the agreements by ending charging behaviour early or misreporting dispatchable loads, which affects the effectiveness of the grid scheduling strategy. To improve the reliability of the grid scheduling strategy, a reliable EV scheduling strategy based on user response credibility assessment is proposed. First, the influencing factors of EV user response credibility are analysed, and an evaluation index model of EV user response credibility is constructed from the aspects of integrity, compliance, and support. Second, to more accurately represent the judgment of power grid experts on the weights of EV user response credibility indicators, an improved analytic hierarchy process based on T-spherical fuzzy numbers is proposed to calculate the indicator weights. Third, an optimization scheduling model considering EV user response credibility and power grid load fluctuations is constructed to obtain the EV scheduling strategy. Finally, a numerical example is used to verify the proposed model and strategy. The results show that, compared with the scheduling strategy without considering user response credibility, the proposed strategy can actually dispatch more EV loads, which not only effectively smooths power grid fluctuations but also reduces potential risks and losses to the power grid.

DOI

10.19781/j.issn.1673-9140.2025.06.019

First Page

193

Last Page

203

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