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1.四川大学电气工程学院,四川省成都市 610065
2.清华大学电机工程与应用电子技术系,北京市 100084
王杨(1990—),男,博士,研究员,博士生导师,主要研究方向:电能质量、新能源并网、电力系统广域监测与控制。E-mail:fwang@scu.edu.cn
宋子宏(1997—),男,硕士研究生,主要研究方向:新能源并网、电力系统广域监测与控制。E-mail:songzihong@stu.scu.edu.cn
占颖(1995—),女,博士研究生,主要研究方向:电力系统次同步振荡的分析。E-mail:zhan-y17@mails.tsinghua.edu.cn
肖先勇(1968—),男,通信作者,博士,教授,博士生导师,主要研究方向:电能质量与优质电力。E-mail:xiaoxianyong@163.com
收稿日期:2020-10-10,
修回日期:2021-02-07,
网络出版日期:2021-04-02,
纸质出版日期:2021-07-10
移动端阅览
王杨,宋子宏,占颖等.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,et al.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.
王杨,宋子宏,占颖等.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. DOI: 10.7500/AEPS20201010004.
WANG Yang,SONG Zihong,ZHAN Ying,et al.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. DOI: 10.7500/AEPS20201010004.
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。
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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