| 引用本文: | 徐玮韡,刘 东,柳劲松,黄玉辉,鲁跃峰,陆 融,邱继东,潘华明.考虑质量标签的多数据源配电网状态估计算法[J].电力自动化设备,2011,31(4): |
| XU Weiwei,LIU Dong,LIU Jinsong,HUANG Yuhui,LU Yuefeng,LU Rong,QIU Jidong,PAN Huaming.State estimation based on quality tag for distribution network with multiple data sources[J].Electric Power Automation Equipment,2011,31(4): |
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| 考虑质量标签的多数据源配电网状态估计算法 |
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徐玮韡1,2, 刘 东1, 柳劲松1, 黄玉辉1, 鲁跃峰1, 陆 融3, 邱继东3, 潘华明3
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1.上海交通大学 电气工程系 电力传输与功率变换控制教育部重点实验室，上海 200240;2.浙江省电力试验研究院，浙江 杭州 310014;3.上海市电力公司，上海 200122
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| 摘要: |
| 针对配电网多数据源的现状，在电力系统综合数据平台收集多个异构系统信息的基础上，利用质量标签和决策树理论对量测数据进行综合评价，提出一种实用的配电网状态估计方法。利用配电网数据规律对配电网量测数据进行逻辑判断，结合决策树理论框架建立数据质量评估体系；并对不良数据进行修补以提高状态估计的输入数据质量；利用质量标签修改权重，对加权最小二乘法状态估计算法进行改进，减少不良数据对状态估计结果的影响。某中心供电区域的2个算例表明了该方法的有效性和可行性。 |
| 关键词: 配电网 状态估计 决策树 质量标签 多数据源 |
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| State estimation based on quality tag for distribution network with multiple data sources |
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XU Weiwei1,2, LIU Dong1, LIU Jinsong1, HUANG Yuhui1, LU Yuefeng1, LU Rong3, QIU Jidong3, PAN Huaming3
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1.Key Laboratory of Control of Power Transmission and Conversion，Ministry of Education，Department of Electrical Engineering，Shanghai Jiao Tong University，Shanghai 200240，China;2.Zhejiang Electric Power Test and Research Institute，Hangzhou 310014，China;3.Shanghai Power Company，Shanghai 200122，China
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| Abstract: |
| A practical SE（State Estimation） method is proposed based on the data collected from multiple sources by the integrated data platform，which are evaluated with the quality tag based on the decision tree theory. The collected data are logically judged according to the rules of distribution network data and the data quality evaluation system is established combined with the decision tree theory. The quality of input data for state estimation is improved by data repair，and the quality tag is used to modify the weights to reduce the influence of bad data on the least-square state estimation. Two calculation cases of a distribution network prove the effectiveness and applicability of the proposed method. |
| Key words: distribution network state estimation decision tree quality tag multiple data sources |
