易善军, 项颂, 苏鹏, 王杨, 宋子宏. 高比例风电接入下次同步振荡监测系统次同步相量监测装置多阶段优化配置方法[J]. 现代电力, 2023, 40(1): 18-26. DOI: 10.19725/j.cnki.1007-2322.2021.0239
引用本文: 易善军, 项颂, 苏鹏, 王杨, 宋子宏. 高比例风电接入下次同步振荡监测系统次同步相量监测装置多阶段优化配置方法[J]. 现代电力, 2023, 40(1): 18-26. DOI: 10.19725/j.cnki.1007-2322.2021.0239
YI Shanjun, XIANG Song, SU Peng, WANG Yang, SONG Zihong. A Multi-stage Optimal Configuration Method for SPMU of Subsynchronous Oscillation Monitoring System Under High Proportion of Wind Power[J]. Modern Electric Power, 2023, 40(1): 18-26. DOI: 10.19725/j.cnki.1007-2322.2021.0239
Citation: YI Shanjun, XIANG Song, SU Peng, WANG Yang, SONG Zihong. A Multi-stage Optimal Configuration Method for SPMU of Subsynchronous Oscillation Monitoring System Under High Proportion of Wind Power[J]. Modern Electric Power, 2023, 40(1): 18-26. DOI: 10.19725/j.cnki.1007-2322.2021.0239

高比例风电接入下次同步振荡监测系统次同步相量监测装置多阶段优化配置方法

A Multi-stage Optimal Configuration Method for SPMU of Subsynchronous Oscillation Monitoring System Under High Proportion of Wind Power

  • 摘要: 随着风电等新能源大规模接入,未来次同步振荡问题将更为突出,亟需建立新型次同步振荡监测系统。中国学者已针对次同步振荡监测装置——次同步相量监测装置(subsynchronous phasor measurement unit, SPMU)开展了相关研究。在此基础上,如何经济高效地制定SPMU配置方案成为了构建次同步振荡监测系统的首要问题。基于风电机组频率耦合阻抗模型提出计及评价指标之间重要程度差异、振荡工况发生概率的监测关键度评价体系;考虑到SPMU实际安装配置中常存在多阶段安装的情况,建立计及节点监测关键度的SPMU多阶段优化配置模型;最后利用整数线性规划求解多阶段优化配置方案。采用美国得克萨斯州ERCOT系统、改进的New England 39节点系统,验证了所提指标及算法的准确性和经济性。

     

    Abstract: With large-scale grid-connection of such new energy as wind power and so on, the subsynchronous oscillation will be even more prominent in the future, so it is urgently need to establish a new-type of subsynchronous oscillation monitoring system. For this reason, relevant research on the subsynchronous oscillation monitoring device, i.e., the subsynchronous phasor measurement unit (abbr. SPMU), has been conducted by Chinese scholars, and on this basis, how to economically and efficiently enact a configuration plan of SPMU becomes the first question in the construction of subsynchronous oscillation monitoring system. Based on the frequency-coupled impedance model of wind turbine units, a monitoring critical degree evaluation system, in which the differences among importance of evaluation indices and the probability of occurrence of oscillation under operating condition were taken into account, was proposed. Considering the situation that during the installation and configuration of SPMU there were often the multi-stage installation, a multi-stage optimal configuration model for SPMU, in which the nodal monitoring critical degree was taken into account, was constructed. Finally, the integral linear programming was utilized to solve the multi-stage optimal configuration scheme. Both accuracy and economy of the proposed indices and algorithm are verified by simulation results of ERCOT system in Texas, USA, and the modified New England 39 bus system.

     

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