%0 Journal Article
%T 面向大规模电动汽车集群的建模与控制方法
%T Modeling and control method for large-scale electric vehicle clusters
%A 安海云，王明深，王伟亮，董晓红，孟健，黄成
%A AN,Haiyun
%A WANG,Mingshen
%A WANG,Weiliang
%A DONG,Xiaohong
%A MENG,Jian
%A HUANG,Cheng
%J 电力自动化设备
%J Electric Power Automation Equipment
%@ 1006-6047
%V 42
%N 2
%D 2022
%P -
%K 电动汽车集群；建模；控制方法；概率控制；响应特性
%K electric vehicle clusters; modeling; control method; probabilistic control; response characteristics
%X 可再生能源的广泛接入对系统源荷平衡产生了深刻的影响，大规模接入电网的电动汽车(EV)集群具有快速可观的可调节潜力，能够为系统源荷平衡提供功率调节支撑。已有的大规模EV集群建模和控制方法需要模拟各独立EV的响应特性以及开发独立的控制信号，模型复杂度高且计算量大；同时大量的控制信号会加大实时通信压力，对通信设施要求高。为了解决上述问题，提出了一种面向大规模EV集群的简化建模和控制方法。首先，充分分析了单辆EV的响应特性，提出了3种接入状态和4种响应方式；然后，利用有限状态子区间描述大规模EV集群的状态分布，评估EV集群的输出功率和可调节容量，通过改变EV在子区间内的状态分布，实现4种响应方式；最后，设计了由2个概率值构成的控制信号，降低了控制方法的复杂度，且控制所有EV接收相同的概率信号降低了对通信的要求。算例仿真结果验证了所提建模和控制方法的有效性。
%X The extensive access of renewable energy has a profound impact on the system source-load balance. The large-scale grid-connected EV(Electric Vehicle) clusters have rapid and considerable adjustable potential, which can provide power regulation support for the system source-load balance. The existing modeling and control methods of large-scale EV clusters need to simulate the response characteristics of each independent EV and develop independent control signals, and the model complexity is high and the computation is large. At the same time, a large number of control signals will increase the real-time communication pressure and have high requirements for communication facilities. To solve the above problems, a simplified modeling and control method for large-scale EV clusters is proposed. Firstly, the response characteristics of a single EV are fully analyzed, and three access states and four response modes are proposed. Then, finite state sub-intervals are used to describe the state distribution of large-scale EV clusters, and the output power and adjustable capacity of EV clusters are evaluated. By changing the state distribution of EVs in sub-intervals, four response modes are realized. Finally, a control signal composed of two probability values is designed to reduce the complexity of the control method, and the requirement for communication is reduced by controlling all EVs to receive the same probability signals. Simulative results of an example verify the effectiveness of the proposed modeling and control method.
%R 10.16081/j.epae.202111004
%U http://www.epae.cn/dlzdhsb/ch/reader/view_abstract.aspx
%1 JIS Version 3.0.0