A Coherent Generators Identification Method Based on Singular Value Decomposition
Zhu Qiaomu1, Chen Jinfu1, Duan Xianzhong1, You Hao2, Li Benyu2
1.State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and Technology Wuhan 430074 China 2.Yunnan Electric Power Dispatching and Controlling Center Kunming 650011 China
Abstract：This paper presented a novel approach to identify coherent generators using singular value decomposition (SVD) in power systems. The key information reflecting coherency was extracted by SVD directly from the real-time power angle values provided by wide-area measurement system (WAMS). From the point of energy, the weight matrix with low dimensions was constructed by referring to several main singular values, the number of which was adaptively determined by energy contribution rate defined in the paper. Coherent generators were identified by applying cluster analysis on the weight matrix. The proposed method is simple, and entails small amount of calculation, so that it is suitable for complex interconnected power grid especially. Meanwhile, this paper discussed the on-line application of the method. The results show that it has high computational speed and potential to be applied online. Furthermore, the results of coherency identification can be expressed by graphs, which is beneficial to control and analysis of power systems. The effectiveness and correctness of the proposed method was validated by simulation results on IEEE39-bus system and China southern power grid (CSG).
朱乔木, 陈金富, 段献忠, 游昊, 李本瑜. 基于奇异值分解的同调机群识别方法[J]. 电工技术学报, 2018, 33(3): 591-600.
Zhu Qiaomu, Chen Jinfu, Duan Xianzhong, You Hao, Li Benyu. A Coherent Generators Identification Method Based on Singular Value Decomposition. Transactions of China Electrotechnical Society, 2018, 33(3): 591-600.
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