| ISODATA方法在配网状态估计不良数据辨识中的应用 |
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| 引用本文： | 卫志农,张云岗,郑玉平.ISODATA方法在配网状态估计不良数据辨识中的应用[J].河海大学学报(自然科学版),2002,30(2):97-100. |
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| 作者姓名： | 卫志农 张云岗 郑玉平 |
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| 作者单位： | 1. 河海大学电气工程学院,江苏,南京,210098
2. 国家电力公司自动化研究院,江苏,南京,210003 |
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| 摘 要： | 采用ISODATA技术（迭代自组织数据分析技术A），利用标准残差Rn和相邻采样时刻量测值之差△Z作为特征值，对量测数据进行模糊聚类分析，并根据隶属变的大小来辨识其是否属于不良数据，数字仿真表明，该计算方法简单、快速、可靠。
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| 关 键 词： | 模糊聚类分析 电力系统 ISODASTA法 |
| 文章编号： | 1000-1980(2002)02-0097-04 |
| 修稿时间： | 2004/11/11 0:00:00 |
Application of ISODATA to Bad-Data Identification in Distribution Networks |
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| WEI Zhi nong ,ZHANG Yun gang ,ZHENG Yu ping.Application of ISODATA to Bad-Data Identification in Distribution Networks[J].Journal of Hohai University (Natural Sciences ),2002,30(2):97-100. |
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| Authors: | WEI Zhi nong ZHANG Yun gang ZHENG Yu ping |
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| Institution: | WEI Zhi nong 1,ZHANG Yun gang 1,ZHENG Yu ping 2 |
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| Abstract: | In the process of distribution system state estimation, bad data identification can make estimation more reliable. An ISODATA method for bad data identification is presented in this paper. In this method, the normalized residual and the difference between data measured at successive sampling times are taken as characteristic values, and by use of the fuzzy clustering analysis method, the bad data are identified based on the membership degree of measured data belonging to good data set. Digital test shows that the method is simple, fast, and reliable. |
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| Keywords: | bad data identification fuzzy clustering analysis |
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