标题:Quantitative Analysis of Dynamic Response Features of Sending-end Power Grid under LCC-HVDC Blocking
作者:Cao, Yongji ;Xie, Yuzheng ;Zhang, Hengxu ;Fang, Yongjie ;Li, Zhaowei ;Ding, Lijie
作者机构:[Cao, Y] Key Laboratory of Power System Intelligent Dispatch, Control of the Ministry of Education, Shandong University, Jinan, 250061, China;[ Xie, Y 更多
会议名称:2018 International Conference on Power System Technology, POWERCON 2018
会议日期:6 November 2018 through 9 November 2018
来源:2018 International Conference on Power System Technology, POWERCON 2018 - Proceedings
出版年:2019
页码:2363-2370
DOI:10.1109/POWERCON.2018.8602317
关键词:dynamic response; LCC-HVDC blocking; quantitative analysis; sending-end power grid; spatiotemporal distribution feature
摘要:Regarding the stability analysis and protection control of line-commutated converter-based high voltage direct current (LCC-HVDC) sending-end power grid, the assessment and extraction of dynamic response features is of great importance. This paper proposes a two-stage approach incorporating local and global analyses to extract the spatiotemporal distribution features of dynamic frequency and voltage responses of large sending-end power grid under LCC-HVDC blocking. From the perspective of time, the local quantitative indices are constructed in the first stage to measure the response time delay, deviation magnitude, rate of change and cumulative effects of dynamic trajectories. Then in the second stage, the temporal features of different observation sites are compared globally, in which the observation space and dissimilarity matrices are created to depict the spatial disparities of the whole observation region. Based on the extracted spatiotemporal features, a typical dynamic response pattern of sending-end power grid is captured to detect the LCC-HVDC blocking. Sichuan power grid in China is selected as a case study to verify the proposed approach and demonstrate the obtained features and pattern. © 2018 IEEE.
收录类别:EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85061740279&doi=10.1109%2fPOWERCON.2018.8602317&partnerID=40&md5=fdbc4bef0f8db33fed8e41d49adb3f2a
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