| 引用本文: | 曾 正,赵荣祥,杨 欢.基于奇异熵TLS-ESPRIT算法的微电网小信号稳定性分析[J].电力自动化设备,2012,32(5): |
| ZENG Zheng,ZHAO Rongxiang,YANG Huan.Small signal stability analysis based on singular entropy and TLS-ESPRIT algorithm for microgrid[J].Electric Power Automation Equipment,2012,32(5): |
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| 摘要: |
| 针对微电网的小信号稳定性进行了研究。基于奇异熵和TLS-ESPRIT算法，提出了一种能直接从微电网运行数据中提取其小信号稳定模态的方法。该方法利用有效信号和噪声在奇异熵方面的显著差异来准确识别信号模态的阶数，有效抑制噪声干扰，并利用TLS-ESPRIT算法精确提取信号模态信息。仿真结果表明，所提方法较传统的Prony算法在计算复杂度和精度方面都具有明显的优势，且该方法能有效识别微电网在并网或孤网运行模式下的小信号稳定模态。 |
| 关键词: 微电网 稳定性 熵 TLS-ESPRIT算法 噪声污染 |
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| 基金项目:国家自然科学基金资助项目（50907060）；中国博士后科学基金资助项目（20090451438） |
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| Small signal stability analysis based on singular entropy and TLS-ESPRIT algorithm for microgrid |
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ZENG Zheng, ZHAO Rongxiang, YANG Huan
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College of Electrical Engineering，Zhejiang University，Hangzhou 310027，China
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| Abstract: |
| The small signal stability of microgrid is investigated and an approach based on singular entropy and TLS-ESPRIT algorithm is presented to detect the small signal stability mode of microgrid directly from its operating data. It identifies exactly the mode order by the significant singular entropy difference between effective signal and noise，suppresses the noise effectively，and applies TSL-ESPRIT algorithm to accurately extract the modal information of signal. Simulative results show that，compared with Prony algorithm，the proposed approach has less computation complexity and higher accuracy，and it detects effectively the small signal stability mode of microgrid in both grid-connected and islanded operating modes. |
| Key words: microgrid stability entropy TLS-ESPRIT algorithm noise pollution |
