| 引用本文: | 杨德友,蔡国伟,陈家荣.基于动态响应的机电振荡特征识别与能控性评估方法[J].电力自动化设备,2014,34(2): |
| YANG Deyou,CAI Guowei,CHAN K W.Characteristics extraction and controllability evaluation based on dynamic response of electro-mechanical oscillation[J].Electric Power Automation Equipment,2014,34(2): |
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| 摘要: |
| 在对基于随机子空间辨识（SSI）算法的系统辨识理论进行深入研究的基础上，设计了基于SSI的电力系统机电振荡特征识别方法，并提出了基于响应的参与因子计算方法，从而实现了系统能控性的量化评估。采用所提方法对系统内各发电机动态角频率响应进行计算，能够从全局角度对系统机电振荡特征进行分析，有效地避免了传统基于单一信号的低频振荡分析方法计算结果信息量少的缺点。IEEE 39节点系统仿真结果表明所提方法具有较高的识别精度和计算效率。 |
| 关键词: 电力系统 机电振荡 能控性 随机子空间 参与因子 动态响应 稳定性 |
| DOI： |
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| 基金项目:国家自然科学基金资助项目（51177010，51377017）；长江学者和创新团队发展计划（IRT1114） |
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| Characteristics extraction and controllability evaluation based on dynamic response of electro-mechanical oscillation |
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YANG Deyou1, CAI Guowei1, CHAN K W2
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1.School of Electrical Engineering，Northeast Dianli University，Jilin 132012，China;2.Department of Electrical Engineering，The Hong Kong Polytechnic University，Hong Kong 999077，China
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| Abstract: |
| The system identification theory based on SSI（Stochastic Subspace Identification） algorithm is researched，a method of electro-mechanical oscillation characteristics identification based on SSI is designed for power system and a method of participation factor calculation based on response is proposed，by which the quantitative evaluation of system controllability is realized. The proposed method is applied to calculate the dynamic angular frequency response of each generator in a system and the system electro-mechanical oscillation characteristics can be globally analyzed to effectively avoid the defect of traditional low-frequency oscillation analysis with insufficient information based on single signal. Simulative results of IEEE 39-bus system show its high identification accuracy and calculation efficiency. |
| Key words: electric power systems electro-mechanical oscillation controllability stochastic subspace participation factor dynamic response stability |
