机电工程技术2025，Vol.54Issue(23)：129-134,6.DOI:10.3969/j.issn.1009-9492.2025.23.022
考虑系统及用户的双向目标V2G优化调度
V2G Optimization Scheduling Considering Dual Objectives of System and Users
摘要
Abstract
To address the impact of the charging and discharging behavior of a large number of grid-connected new-energy vehicles on the local power system and to enhance the acceptance of vehicle-to-grid(V2G)technology,through the analysis of the operating characteristics of electric vehicles,Monte Carlo method is used to simulate and obtain the initial vehicle data,and a mathematical model for the charging and discharging of electric vehicles is established.Meanwhile,considering the relationship between the battery life of electric vehicles and influencing factors such as the environment and the depth of discharge,various parameters and key constraints are set to prevent situations such as node power limit violation and battery SOC value limit violation.The peak-shaving and valley-filling characteristics are analyzed,and a time-of-use electricity pricing compensation mechanism is formulated to guide vehicle owners' behaviors.Particle swarm algorithm is adopted on MATLAB platform to build a simulation experiment system,and the optimal scheduling simulation is carried out for the dual-objective functions of the system and users.Compared with the disordered charging behavior,the simulation results show that the peak-valley difference rate of the system objective function is reduced by 35%～45%on average,and the charging cost of the user objective function is reduced by¥15～25 per unit per single charge on average.Compared with similar studies,this scheme enables users to obtain benefits.While reducing the peak-valley difference rate,it improves user enthusiasm,generates positive feedback,and can encourage more new-energy vehicle owners to participate.关键词
削峰填谷/V2G/补偿机制/双向目标Key words
peak shaving and valley filling/V2G/compensation mechanism/dual objective分类
信息技术与安全科学引用本文复制引用
肖帆,吴自然,许小锋,吴桂初,吴耀威..考虑系统及用户的双向目标V2G优化调度[J].机电工程技术,2025,54(23):129-134,6.基金项目
浙江省"尖兵领雁"科技计划项目(2025C02243) （2025C02243）
温州市高水平创新团队项目(2024R1002) （2024R1002）
