摘要
为进一步提高电网运行稳定性,减少用户成本,构建了一个双层规划模型。通过上层规划确定EV充放电策略后,在下层规划中以EVCS和RES在配电网中的接入位置和最大容量作为优化变量,建立了一个多目标优化函数。采用粒子群算法在IEEE-33节点系统上对其进行分析优化,验证方案的有效性。仿真结果表明:配置EVCS和RES使配电网整体成本和稳定性均有明显上升;V2G技术对EV充放电行为的控制,降低了整体电压波动、运营成本和EV车主充电费用。该方法在不同的目标权重下均能根据充电策略对电动汽车充电站和新能源发电进行迅速且有效的规划,具有一定的应用前景。
This paper aims to improve the operational stability of the smart grid and reduce the cost for customers.The study involves developing a double-layer planning model;determining the EV charging and discharging strategy through the upper-level planning,followed by establishing a multi-objective optimization function in the lower-level planning using the location and capacity of EVCS and RES in the distribution network as optimization variables;and analyzing and optimizing the planning model on the IEEE-33 node system to verify its effectiveness using a particle swarm optimization(PSO)algorithm.Simulation results show that the arrangement of EVCS and RES increases the total cost and stability of the distribution network significantly;the management of EV charging and discharging behavior by V2G technology reduces both overall voltage fluctuations,operating costs and charging costs for EV owners.The results show that this model holds some application promises for rapid and effective planning of EVCS and RES according to charging strategies under different objective weights.
作者
赵为光
孙健
吴尚阳
张路兵
孙建宇
Zhao Weiguang;Sun Jian;Wu Shangyang;Zhang Lubing;Sun Jianyu(School of Electrical & Control Engineering, Heilongjiang University of Science & Technology, Harbin 150022, China)
出处
《黑龙江科技大学学报》
CAS
2021年第1期98-104,共7页
Journal of Heilongjiang University of Science And Technology
基金
黑龙江省省属高校基本科研业务费项目(2019-KYYWF-0731)。
关键词
电动汽车
新能源发电
双层规划
V2G技术
粒子群算法
electric vehicle
renewable energy sources generation
double-layer planning
V2G technology
particle swarm optimization algorithm
作者简介
第一作者:赵为光(1972-),男,吉林省吉林人,副教授,博士,研究方向:新能源发电系统建模与优化控制,E-mail:zwg_0711@163.com。
