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基于转移潮流的状态估计模型
引用本文:陈艳波,周京阳,于尔铿,李强,王磊.基于转移潮流的状态估计模型[J].电力系统自动化,2010,34(2):39-42.
作者姓名:陈艳波  周京阳  于尔铿  李强  王磊
作者单位:中国电力科学研究院,北京市,100192
摘    要:传统的状态估计把量测方程作为约束条件,以量测残差的加权平方和或加权绝对值之和最小等为目标函数进行估计,因而不能直接辨识出拓扑错误.为了同时辨识拓扑错误和不良数据,文中把转移潮流方程增广为状态估计的约束条件,在目标函数中同时计及转移潮流的残差和量测残差,对已有的加权最小绝对值状态估计进行了改进,提出了可以同时辨识支路拓扑错误和不良数据的状态估计模型.文中给出了某省实际电网的计算实例.

关 键 词:状态估计  加权最小二乘估计  加权最小绝对值估计  转移潮流  拓扑错误辨识  不良数据辨识
收稿时间:6/11/2009 7:07:15 PM
修稿时间:1/4/2010 10:45:00 PM

A Transfer Power Flow Based State Estimation Model
CHEN Yanbo,ZHOU Jingyang,YU Erkeng,LI Qiang,WANG Lei.A Transfer Power Flow Based State Estimation Model[J].Automation of Electric Power Systems,2010,34(2):39-42.
Authors:CHEN Yanbo  ZHOU Jingyang  YU Erkeng  LI Qiang  WANG Lei
Affiliation:China Electric Power Research Institute;Beijing 100192;China
Abstract:The objective functions of traditional state estimation are to get the weighted least squares of the residual sum or the weighted least absolute value of the residual sum and so on,constrained by measurement function,thus could not identify topology error directly.In order to identify topology error and bad data at the same time,this paper extends the transfer power flow function as constraints,while taking account of the residual of transfer power flow as well as the measurement residual in the objective f...
Keywords:state estimation  weighted least squares estimation  weighted least absolute value estimation  transfer power flow  topology error identification  bad data identification
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