郑州大学学报（理学版）2026，Vol.58Issue(5)：69-77,9.DOI:10.13705/j.issn.1671-6841.2025083
基于模糊推理与分区动态电价的电动汽车充放电策略
Electric Vehicle Charging and Discharging Strategy Based on Fuzzy Inference and Zoned Dynamic Electricity Price
摘要
Abstract
To address the load fluctuation issues caused by large-scale electric vehicles integration into the power grid,a scheduling strategy for electric vehicle charging and discharging was proposed based on user behavior fuzzy inference and zoned dynamic electricity price.Firstly,a spatiotemporal distribution model of the electric vehicle charging load was constructed based on the travel chain theory,and zoned dynamic electricity price and incentive electricity price models were established according to the node voltage levels.Secondly,users were categorized into rigid users and flexible users based on the real-time state of charge and the required electricity for the next trip.Immediate charging strategies were adopted for rigid users.For flexible users,fuzzy inference theory was utilized to quantify their willingness to re-spond to charging and discharging.Finally,a multi-objective optimization model was developed with the goal of minimizing the total cost of user charging and discharging and the load variance of distribution net-work,and maximizing the comprehensive satisfaction of users.And the NSGA-Ⅲ algorithm was employed to solve the optimization model.The simulation results demonstrated that the proposed strategy could ef-fectively reduce the load variance and peak-valley difference of the power grid,decrease the total cost for users,and significantly improve the voltage quality of distribution network nodes.关键词
电动汽车/模糊推理/分区动态电价/充放电调度/用户响应意愿Key words
electric vehicle/fuzzy inference/zoned dynamic electricity price/charging and discharging scheduling/user response willingness分类
交通工程引用本文复制引用
王强,吴前锋,黄博,位华坤..基于模糊推理与分区动态电价的电动汽车充放电策略[J].郑州大学学报（理学版）,2026,58(5):69-77,9.基金项目
国家自然科学基金项目(52277012) （52277012）
