文章摘要
凌锋,王力成.含时变电动汽车集群虚拟惯量支持的电网频率安全调度[J].高技术通讯(中文),2024,34(11):1211~1223
含时变电动汽车集群虚拟惯量支持的电网频率安全调度
Network frequency security scheduling with virtual inertia support of time-varying electric vehicle clusters
  
DOI:
中文关键词: 开放式系统; 电动汽车; 一次调频; 鲁棒动态一致性算法
英文关键词: open multi-agent system, electric vehicle, primary frequency modulation, robust dynamic consensus algorithm
基金项目:
作者单位
凌锋 (浙江工业大学信息工程学院杭州 310023) 
王力成  
摘要点击次数: 20
全文下载次数: 40
中文摘要:
      电动汽车的快速发展为解决可再生能源高渗透率电网频率稳定问题提供了新的解决方案。本文首先建立了含电动汽车集群的电力系统双层调度策略。第1层为固定时间间隔下的周期性优化调度。调度人员根据当前电力系统整体运行状态在每个调度周期分别为发电机组和电动汽车集群制定最优运行点和虚拟惯量支撑任务,从而提高系统频率稳定性及运行经济性。第2层为电动汽车集群内部的实时协同控制。本文采用鲁棒动态一致性算法为当前时刻在网的电动汽车公平地分配虚拟惯量响应功率,从而使开放式的时变电动汽车集群实现对上层调度指令的无偏差响应(虚拟惯量支撑任务)。仿真实验验证了本文所提策略能够有效利用电动汽车集群的虚拟惯量响应,提高系统运行的经济性和稳定性以及电动汽车集群整体虚拟惯量响应能力的稳定性。
英文摘要:
      The rapid development of electric vehicles provides a new solution to the problem of frequency stability of power grid with high permeability of renewable energy. In this paper, a two-layer scheduling strategy for electric vehicle cluster is established. The first layer is periodic optimization scheduling under fixed time interval. According to the overall running state of the current power system, the scheduler sets the optimal running point and the virtual inertia support task for the generator set and the electric vehicle cluster respectively in each dispatching cycle, so as to improve the frequency stability and operation economy of the system. The second layer is the real-time collaborative control inside the electric vehicle cluster. In this paper, the robust dynamic consistency algorithm is used to fairly allocate the virtual inertia response power to the electric vehicles on the network at the current time, so that the open time-varying electric vehicle cluster can realize the unbiased response to the upper-level scheduling instruction (virtual inertia support task). Finally, simulation results show that the proposed strategy can effectively utilize the virtual inertia response of the electric vehicle cluster, improve the economy and stability of the system operation, as well as the stability of the whole virtual inertia response capability of the electric vehicle cluster.
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