考虑质量标签的多数据源配电网状态估计算法  

State estimation based on quality tag for distribution network with multiple data sources

作　　者：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] 

机构地区：[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]浙江省电力试验研霉院,浙江杭州310014 [3]上海市电力公司,上海200122

出　　处：《电力自动化设备》2011年第4期78-81,86,共5页Electric Power Automation Equipment

基　　金：国家重点基础研究发展计划973计划资助项目(2009CB219703);上海市科技攻关重点项目(10dz1202800);教育部新世纪优秀人才支持计划(NCET-07-0547)~~

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。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.

关 键 词：配电网 状态估计 决策树 质量标签 多数据源 

分 类 号：TM711[电气工程—电力系统及自动化]