王杨, 宋子宏, 占颖, 李卓城, 杜文娟, 肖先勇. 风电并网系统次同步振荡监测装置优化配置方法[J]. 电力系统自动化, 2021, 45(13): 141-150.
引用本文: 王杨, 宋子宏, 占颖, 李卓城, 杜文娟, 肖先勇. 风电并网系统次同步振荡监测装置优化配置方法[J]. 电力系统自动化, 2021, 45(13): 141-150.
WANG Yang, SONG Zihong, ZHAN Ying, LI Zhuocheng, DU Wenjuan, XIAO Xianyong. Optimal Placement Method for Subsynchronous Oscillation Monitoring Devices in Grid-connected Wind Power System[J]. Automation of Electric Power Systems, 2021, 45(13): 141-150.
Citation: WANG Yang, SONG Zihong, ZHAN Ying, LI Zhuocheng, DU Wenjuan, XIAO Xianyong. Optimal Placement Method for Subsynchronous Oscillation Monitoring Devices in Grid-connected Wind Power System[J]. Automation of Electric Power Systems, 2021, 45(13): 141-150.

风电并网系统次同步振荡监测装置优化配置方法

Optimal Placement Method for Subsynchronous Oscillation Monitoring Devices in Grid-connected Wind Power System

  • 摘要: 近年来,风电等可再生能源的大规模接入使得次同步振荡事故频发。鉴于现有监测系统难以满足对次同步振荡的监测需求,中国多地正积极开展新型振荡监测系统的构建工作。考虑到时间和成本的限制,明确系统关键监测节点、经济合理地选取配置数量是构建新型振荡监测系统的首要问题。从振荡监测和溯源两个角度定义各节点在振荡监测系统中的关键度,提出了一种考虑节点关键度的振荡监测装置最优配置方法。该方法通过综合节点可观性和阻尼影响程度建立节点关键度指标,并计及系统N-1故障概率和零注入节点构建最优配置模型,最后利用整数线性规划得到配置方案。通过对美国得克萨斯州ERCOT风电系统、改进的New England 39节点系统和中国河北沽源实际风电并网系统的不同配置方案进行分析对比,验证了文中算法的可行性和经济性。

     

    Abstract: In recent years, large-scale access of renewable energy sources such as wind power causes frequent occurrence of subsynchronous oscillation accidents. Given the existing monitoring system is difficult to meet the monitoring requirements for the subsynchronous oscillation, many places in China are actively developing a new oscillation monitoring system. Considering the limitation of time and cost, it is the primary problem to determine the critical monitoring nodes of the system and select the number of configuration economically and reasonably. The nodal critical index of each node in the oscillation monitoring system is defined from the perspectives of oscillation monitoring and source location, and an optimal placement method considering nodal critical index is proposed. In this method, the nodal critical index is established by synthesizing the nodal observability and damping influential degree, and then the optimal placement model is constructed by taking the probability of N-1 contingency and zero injection nodes into account. Finally, the placement scheme is solved by integer linear programming. The feasibility and economy of the proposed algorithm are verified by comparing the different placement schemes of the ERCOT wind power system in Texas,USA, the modified New England 39-bus system, and an actual grid-connected wind power system in Guyuan, Hebei Province,China.

     

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