Aggregation evaluation method for schedulable capacity of electric vehicle charging station based on Minkowski summation
H M Wang, Fang Zhang, Liangliang Liu, Yuqian Qi
Tianjin Research Institute of Electric Science (China) Tianjin University
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摘要与影响
With the growth of electric vehicles, charging loads are increasingly impacting power grid operations. Evaluating the schedulability of charging stations is crucial for enhancing vehicle-grid interactions and grid regulation. This paper introduces a method using Minkowski summation to assess charging stations’ schedulable capacity. The schedulable capacity of the charging pile in the station is quantified as a set of effective quantities through the busy period distribution, and Minkowski summation is then used for aggregation to obtain a comprehensive evaluation of the station’s overall schedulable capacity. Simulations with China State Grid data from 2024 to 2025 validate the method, highlighting significant schedulability differences among stations, influenced mainly by peak and valley load distribution. This approach aids grid dispatching and optimizes resource scheduling.
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工程Electric Vehicles and Infrastructure
Smart Grid Energy Management · Advanced Battery Technologies Research
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