面向大规模电动汽车并网的需求侧管理方案对比分析  

Comparative Analysis of Demand-side Management Programs for Large-scale Electric Vehicle Connected to Grid

作　　者：曾鸣[1] 詹晓晖[1] 史慧[1] 高玉明 郭亮 张健 张华栋 

机构地区：[1]华北电力大学经济与管理学院,北京102206 [2]国网山东省电力公司,山东济南250000

出　　处：《华北电力大学学报（自然科学版）》2015年第3期42-47,共6页Journal of North China Electric Power University：Natural Science Edition

基　　金：国家软科学研究计划(2012GXS4B064);国家自然科学基金资助项目(71271082)

摘　　要：电动汽车充电在时间和空间上都存在着不确定性,大量的电动汽车接入电网可能导致电网负荷的明显波动,影响系统运行效率及安全稳定性,因此有必要研究电动汽车接入电网的运行规律并对其实施需求侧管理。以插电式混合动力汽车为研究对象,针对大规模电动汽车并网充电提出两种需求侧管理方案:基于中央调度程序的二次规划调度方法和基于能量限制器和功率限制器的多智能体系统调度方法,并对某典型地区配电网中的电动汽车进行仿真分析,评估和量化插电式混合动力汽车入网引起的负荷需求增长问题。算例结果从最优性、适应性和可扩展性三个方面说明多智能体调度方法优于二次规划调度方法。As the electric vehicle faces uncertainty in charging time and space, a large number of electric vehicles con- nected to the grid may cause significant fluctuations in grid load, affecting system operation efficiency, security and stability. Therefore, it is necessary to study the operation rules of electric vehicles connected to the grid, and implement demand-side management. Taking plug-in hybrid vehicles as the research object, two demand-side management programs for large-scale electric vehicle charging in the grid were proposed： quadratic programming scheduling based on central scheduler program and multi-agent system scheduling method based on energy and power limiter, which were applied to launch a simulation analysis in electric vehicles of a typical regional distribution network, to assess and quantify the demand growth problem caused by plug-in hybrid vehicles accessing the network. Numerical results showed that multi-agent scheduling method was superior to quadratic programming dispatching method in optimality, adaptability and scalability aspects.

关 键 词：插电式混合动力汽车 多智能体系统 需求侧管理 协调机制 

分 类 号：TM74[电气工程—电力系统及自动化]