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| Research on Low Frequency Oscillation Identification in PMU |
| Wang Yun, Shen Jian, Zhang Min, Hou Mingguo, Tan Yong |
| NARI Technology Development Co., Ltd, Nanjing 211006 |
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Abstract Low frequency oscillation identification in PMU is discussed in this article. Generally low frequency oscillation identification is realized in WAMS using data from PMU. Thus oscillation analysis can be done in PMU. PMUs that monitor power flow of tie lines or power plants are chosen to detect and analyze oscillation locally. Using power variation and symmetrical component combined with Mandani fuzzy logic, oscillation is distinguished from faults or other dynamic and transient processes. With Prony method applied to the filtered power data, oscillation parameters such as oscillation amplitude, frequency and damping ratio could be obtained. Simulation and laboratory test show the effectiveness of low frequency oscillation identification in PMU.
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Published: 20 November 2015
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2015, Vol. 16 
