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基于多代理系统的电动汽车充放电分布式协同调度策略
引用本文:于娜,于飞,黄大为,陈厚合,张鹏宇.基于多代理系统的电动汽车充放电分布式协同调度策略[J].电力系统保护与控制,2019,47(5):1-9.
作者姓名:于娜  于飞  黄大为  陈厚合  张鹏宇
作者单位:东北电力大学电气工程学院,吉林 吉林,132012;东北电力大学电气工程学院,吉林 吉林 132012;中国能源建设集团山西省电力勘测设计院有限公司,山西 太原 030001;国网吉林省电力有限公司,吉林 长春,130021
基金项目:长江学者和创新团队发展计划项目资助(IRT1114);国家自然科学基金项目资助(51307019,51377016,51477027);吉林省科技发展计划资助项目资助(20130102026JC,20140101210JC)
摘    要:大规模电动汽车(Electric Vehicles, EV)无序充电行为将增加电力系统运行的安全隐患,而数量庞大的电动汽车充放电优化控制为电力系统能量管控提出了新的挑战。提出一种改进的基于多代理系统(Multi-AgentSystem,MAS)的电动汽车充放电分布式协同调度方法。该方法以负荷填谷为目标,在虚拟电价协同机制框架下,综合考虑了配电网三相负荷平衡、变压器容量约束和节点电压约束,与MAS信息交互机制相结合,通过采用迭代修正虚拟电价的方法,实现EV有序的智能充放电。以IEEE33节点系统为例进行仿真分析,验证了所提方法的特点和有效性。

关 键 词:电动汽车  分布式充放电  多代理系统  节点电压  配电网
收稿时间:2018/3/20 0:00:00
修稿时间:2018/5/28 0:00:00

Multi-agent system based charging and discharging of electric vehicles distributed coordination dispatch strategy
YU N,YU Fei,HUANG Dawei,CHEN Houhe and ZHANG Pengyu.Multi-agent system based charging and discharging of electric vehicles distributed coordination dispatch strategy[J].Power System Protection and Control,2019,47(5):1-9.
Authors:YU N  YU Fei  HUANG Dawei  CHEN Houhe and ZHANG Pengyu
Affiliation:School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China,School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China;Shanxi Electric Power Survey and Design Co., Ltd., Energy Construction Group of China, Taiyuan 030001, China,School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China,School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China and State Grid Jilin Electric Power Company Limited, Changchun 130021, China
Abstract:The large-scale Electric Vehicles (EV) uncontrolled charging behavior will increase the safety hazard of the power system operation, and a large number of EV charging and discharging control brings new challenge to energy management of the power system. In this paper, an improved EV charging and discharging distributed coordination dispatch control strategy based on Multi-Agent System (MAS) is proposed. It aims at the valley-filling, under the framework of the virtual price coordination mechanism, considers the distribution network three-phase balance, transformer capacity and node voltage constraint, and combining with MAS information interaction mechanism, adopts iterative correction of virtual price to achieve the intelligent charging and discharging of EV. Taking IEEE33 node system as an example, simulation and analysis verify the characteristics and effectiveness of the proposed method. This work is supported by National Natural Science Foundation of China (No. 51307019, No. 51377016, and No. 51477027).
Keywords:electric vehicle  distributed charging and discharging  multi-agent system  node voltage  distribution network
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