| 基于ICA和MI的谐波源识别研究 |
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| 引用本文： | 任立志,马宏忠,宋树平,徐刚,陈勇. 基于ICA和MI的谐波源识别研究[J]. 电测与仪表, 2015, 52(8) |
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| 作者姓名： | 任立志 马宏忠 宋树平 徐刚 陈勇 |
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| 作者单位： | 1. 河海大学能源与电气学院,南京,210098
2. 宜兴供电公司,江苏宜兴,214061 |
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| 摘 要： | 把电力系统谐波源识别问题抽象为盲源分离问题。运用独立分量分析和互信息论,提出了一种电网多谐波源识别的新方法。独立分量分析法用于重构谐波电流,互信息论用于谐波源的定位。为证明所述方法的正确性,运用IEEE39节点建立仿真来识别多谐波源。结论证明在网络参数未知的条件下,所提出的方法能准确识别多个谐波源的位置。
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| 关 键 词： | 谐波源识别 独立分量分析 互信息论 |
| 收稿时间： | 2014-06-03 |
| 修稿时间： | 2014-06-03 |
Study on Harmonic Source Identification Based on ICA and MI |
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| REN Li-zhi,MA Hong-zhong,SONG Shu-ping,XU Gang and CHEN Yong. Study on Harmonic Source Identification Based on ICA and MI[J]. Electrical Measurement & Instrumentation, 2015, 52(8) |
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| Authors: | REN Li-zhi MA Hong-zhong SONG Shu-ping XU Gang CHEN Yong |
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| Affiliation: | College of Energy and Electrical Engineering,Hohai University,College of Energy and Electrical Engineering,Hohai University,College of Energy and Electrical Engineering,Hohai University,College of Energy and Electrical Engineering,Hohai University,Yixing Power Supply Corporation |
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| Abstract: | The harmonic source identification problem of power system is abstracted to blind source separation. Using independent component analysis and information theory, propose a new method for power grid multi harmonic sources identification. Independent component analysis method is used to reconstruct the harmonic current while mutual information theory is used to locate the harmonic source. In order to prove exactness of the method, use the IEEE39 nodes simulation to identify multi harmonic sources. Conclusion proves that under the unknown network parameters conditions, the proposed method can accurately identify the location of the multi harmonic sources. |
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| Keywords: | harmonic source identification independent component analysis mutual information |
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