南方电网技术2025，Vol.19Issue(10)：27-37,11.DOI:10.13648/j.cnki.issn1674-0629.2025.10.003
综合多模式补电与电池调控的多方需求优化策略
Multi-Party Demand Optimization Strategy for Comprehensive Multi-Mode Power Replenishment and Battery Regulation
摘要
Abstract
In response to the phenomenon of the negative effects of disorderly charging and discharging of electric vehicles and batter-ies in photovoltaic battery charging and swapping station(BCSS),a multi-party collaborative optimization strategy integrating multi-mode power replenishment and battery regulation is proposed to ensure user power replenishment optimality,BCSS economy,and regional power grid stability,guiding users' replenishment decisions and battery scheduling within the station.Firstly,based on the principles of power anxiety and time redundancy,a price perception incentive model is established based on power replenishment incentives and time anxiety,and user demand for power replenishment is constructed considering demand price elasticity and price perception incentives.Furthermore,a power replenishment decision model is established based on the regret theorem.Secondly,based on the load level of the power grid and the guidance of battery capacity,a battery regulation model is established considering the charging and discharging status of the battery.Finally,a multi-party demand optimization scheduling model is established to maximize the economic benefits of charging and swapping stations and minimize regional power grid load fluctuations.Simulation results demonstrate the effectiveness of the proposed strategy,with reducing user expenses by 8.3%,increasing economic benefits of BCSS by 16.5%,and reducing regional grid load fluctuations by 41.7%.关键词
多模式补电/价格激励/电池调控/多目标优化模型Key words
multi-mode power replenishment/price incentives/battery regulation/multi-objective optimization model分类
交通运输引用本文复制引用
袁建华,张天宇,陈广生,黄淘..综合多模式补电与电池调控的多方需求优化策略[J].南方电网技术,2025,19(10):27-37,11.基金项目
煤燃烧国家重点实验室开放基金资助项目(FSKLCCA1607) （FSKLCCA1607）
梯级水电站运行与控制湖北省重点实验室基金资助项目(2015KJX07). Supported by the Open Fund of State Key Laboratory of Coal Combustion(FSKLCCA1607) （2015KJX07）
the Fund of Operation and Control of Cascade Hydropower Stations of Hubei Provincial Key Laboratory(2015KJX07). （2015KJX07）
