计算机工程2025,Vol.51Issue(11):45-53,9.DOI:10.19678/j.issn.1000-3428.0069961
面向电网负荷稳定的电动汽车自适应离散充电调度策略
Adaptive Discrete Electric Vehicle Charging Scheduling Strategy for Power Grid Load Stability
摘要
Abstract
With the rapid development of electric vehicles,a large number of charging demand will bring about problems such as increased peak-valley difference of distribution network load and uncertainty of charging load.To this end,an adaptive discrete charging scheduling strategy is proposed for power grid load stability.A discrete charging scheduling model is constructed to minimize the peak-valley difference in distribution network load by jointly optimizing the state decision variables and charging power during the charging process of electric vehicles.In order to meet the real-time charging demand of electric vehicles,an adaptive adjustment method of vehicle charging interval is designed.According to the arrival time and departure time of different electric vehicles,the charging scheduling interval of electric vehicles is adjusted in real time.However,the state decision variables and charging power in the discrete charging scheduling model are highly coupled,which is a Mixed Integer Nonlinear Programming(MINLP)problem.In order to solve this problem,first,the charging load allocation rate of the time slot is solved by calculating the charging load margin;then,based on the dynamic allocation of loads in different time slots,the charging state decision variables are iteratively updated;finally,based on the updated state decision variables,the time-discrete charging power is optimized.Simulation results show that the proposed scheduling strategy can effectively reduce the peak-valley difference of distribution network load,improve power grid stability,and flexibly meet the real-time charging needs of electric vehicles.关键词
电动汽车/峰谷差/实时充电/自适应离散/状态决策Key words
electric vehicle/peak-valley difference/real-time charging/adaptive discrete/state decision-making分类
信息技术与安全科学引用本文复制引用
王锦怡,李德识,朱舒雅..面向电网负荷稳定的电动汽车自适应离散充电调度策略[J].计算机工程,2025,51(11):45-53,9.基金项目
国家自然科学基金(62101389) (62101389)
国网湖北省信息通信公司科技项目(B31533220352). (B31533220352)