Abstract
In the context of a significant increase in the charging and discharging scale of electric vehicles accessing the distribution network, a distribution network reliability robust optimization evaluation method considering vehicle-grid interaction is proposed in order to improve the distribution system reliability. Based on the proposed EV driving model, charging and discharging incentive model, and the reliability evaluation index system considering the differentiation of EV users, a two-stage distributed robust fault recovery model is constructed. In the first stage, the power supply range is determined, and the second stage finds the worst-case probability distribution that makes the cost the largest. The results of the case study show that the proposed reliability improvement method can make full use of EV resources, and the resulting optimization scheme is applicable to various operation scenarios.
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Thanks for the support of project ‘B61209210005’.
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Cong, H. et al. (2023). Distributionally Robust Optimization Evaluation of Distribution Network Reliability Considering EV Access and Interaction. In: Zeng, P., Zhang, XP., Terzija, V., Ding, Y., Luo, Y. (eds) The 37th Annual Conference on Power System and Automation in Chinese Universities (CUS-EPSA). CUS-EPSA 2022. Lecture Notes in Electrical Engineering, vol 1030. Springer, Singapore. https://doi.org/10.1007/978-981-99-1439-5_70
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DOI: https://doi.org/10.1007/978-981-99-1439-5_70
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