摘要
为解决大规模新能源汽车接入电网进行充放电行为对局部电力系统的冲击现象,以及提高新能源车主对车网互动(Vehicleto-grid,V2G)技术的接受度,通过对电动汽车运行特性的分析,采用蒙特卡洛法模拟获取车辆初始数据,搭建电动汽车充放电数学模型,同时考虑电动汽车电池寿命与环境以及放电深度等影响因素的关系,设置各项参数以及关键约束条件,防止出现节点功率越限和电池SOC值越限等情况。分析削峰填谷特性,制定一种指引车主进行削峰填谷行为的分时电价补偿机制。通过MATLAB仿真平台采用粒子群算法,搭建仿真实验系统,针对系统及用户双向目标函数进行优化调度仿真模拟。仿真结果对比无序充电行为,在系统向目标函数峰谷差率上平均降低35%~45%,在用户向目标函数充电成本上平均每单位单次充电降低15~25元。该方案相对于同类研究使用户获取收益,在降低峰谷差率的同时提高用户积极性,产生正向反馈,能够激励更多新能源车主参与。
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 dualobjective 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.
作者
肖帆
吴自然
许小锋
吴桂初
吴耀威
Xiao Fan;Wu Ziran;Xu Xiaofeng;Wu Guichu;Wu Yaowei(College of Electrical and Electronic Engineering,Wenzhou University,Wenzhou,Zhejiang 325025,China;Technology Institute of Wenzhou University in Yueqing,Wenzhou,Zhejiang 325699,China;Zhejiang Juchuang Intelligent Technology Co.,Ltd,Wenzhou,Zhejiang 325005,China)
出处
《机电工程技术》
2025年第23期129-134,共6页
Mechanical & Electrical Engineering Technology
基金
浙江省“尖兵领雁”科技计划项目(2025C02243)
温州市高水平创新团队项目(2024R1002)。
关键词
削峰填谷
V2G
补偿机制
双向目标
peak shaving and valley filling
V2G
compensation mechanism
dual objective
