Automation of Electric Power SystemsVol. 34, Issue 2, Pages: 29-33(2010)
作者机构:
1. 哈尔滨工业大学电气工程及自动化学院,黑龙江省,哈尔滨市,150001
2. 台湾清华大学电机系,台湾省,新竹市,30013
作者简介:
基金信息:
DOI:
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Published:2010
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移动端阅览
XIA Shiwei, BAI Xuefeng, CHEN Shilin, et al. [J]. Automation of electric power systems, 2010, 34(2): 29-33.
DOI:
XIA Shiwei, BAI Xuefeng, CHEN Shilin, et al. [J]. Automation of electric power systems, 2010, 34(2): 29-33.DOI:
基于模糊聚类法的暂态稳定机组分群方法
摘要
暂态稳定分析多机等值时,受扰发电机的分群是需要解决的首要问题。文中用模糊聚类分析方法对受扰后的发电机进行分群研究,对模糊聚类方法的关键参数进行分析,引入 F统计比率指标保证发电机分群数目的灵活性。通过New England 10机系统算例比较了相关理论法、三取二分群方法和模糊聚类法的分群效果,分析结果表明模糊聚类法在暂态稳定分析中对受扰发电机的分群有效、可靠。
Abstract
For multi-machine equivalent in transient stability analysis, the grouping of the disturbed generators is the most important issue that needs to be solved. This paper investigates the clustering strategy for the disturbed generators by the fuzzy clustering method, analyzes the key parameters of this method and introduces the statistics ratio index F to ensure the flexibility of clustering number of disturbed generators. The standard New England 10-generator power system is used to test the effectiveness of the relevant method, the voting clustering method and the fuzzy clustering method. The test results illustrate that the fuzzy clustering method is self-adaptive and it is very effective as well as credible in clustering disturbed generators for power system transient stability analysis.
Transient Stability Assessment of Power System Based on Spatio-Temporal Graph Convolutional Network
基于差量特征提取与模糊聚类的非侵入式负荷监测方法
基于数值天气预报的母线负荷预测
采用频率相关网络等值的RTDS-TSA异构混合仿真平台开发
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Related Institution
Department of Electrical Engineering, Tsinghua University
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Key Laboratory of Power System Protection and Dynamic Security Monitoring and Control Under Ministry of Education, North China Electric Power University