| 随机子空间法在低频振荡分析中的应用 |
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| 引用本文： | 袁荣湘,江保锋,赵树华,陈剑锋,方永康,吴路力,黄凯荣. 随机子空间法在低频振荡分析中的应用[J]. 电力系统及其自动化学报, 2011, 23(4): 51-55 |
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| 作者姓名： | 袁荣湘 江保锋 赵树华 陈剑锋 方永康 吴路力 黄凯荣 |
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| 作者单位： | 1. 武汉大学电气工程学院,武汉,430072
2. 广东电网公司江门供电局,江门,529000 |
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| 摘 要： | 电网规模的日益扩大使得低频振荡成为电力系统稳定运行中备受关注的问题之一,文中将随机子空间法应用于电力系统低频振荡模式辨识.以状态空间模型为基础,通过随机子空间辨识得到系统的状态矩阵,由其特征值可求得信号的频率和阻尼比,再由最小二乘法可得到各分量的幅值和相角.通过一合成信号验证了算法的正确性,再利用四机两区系统的仿真数据...
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| 关 键 词： | 随机子空间法 低频振荡 在线辨识 电力系统 |
Stochastic Subspace Identification for Power System Low Frequency Oscillations Analysis |
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| YUAN Rong-xiang,JIANG Bao-feng,ZHAO Shu-hua,CHEN Jian-feng,FANG Yong-kang,WU Lu-li,HUANG Kai-rong. Stochastic Subspace Identification for Power System Low Frequency Oscillations Analysis[J]. Proceedings of the CSU-EPSA, 2011, 23(4): 51-55 |
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| Authors: | YUAN Rong-xiang JIANG Bao-feng ZHAO Shu-hua CHEN Jian-feng FANG Yong-kang WU Lu-li HUANG Kai-rong |
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| Affiliation: | YUAN Rong-xiang1,JIANG Bao-feng1,ZHAO Shu-hua2,CHEN Jian-feng2,FANG Yong-kang2,WU Lu-li2,HUANG Kai-rong2(1.School of Electrical Engineering,Wuhan University,Wuhan 430072,China,2.Jiangmen Power Supply Bureau of Guangdong Power Grid Corporation,Jiangmen 529000,China) |
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| Abstract: | With the development of power system,low frequency oscillations become one of the issues of concern in the stable operation of power system.A stochastic subspace identification(SSI) method was applied to power system low frequency oscillation modes identification in the paper.Based on the state space model,the state matrix is computed by SSI.The signal frequency and damping are obtained by the state matrix eigenvalues and the amplitude and phase of each mode can be acquired by least squares method.A synthet... |
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| Keywords: | stochastic subspace identification(SSI) low frequency oscillation on-line identification power system |
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