电力系统自动化2018，Vol.42Issue(2)：26-33,8.DOI:10.7500/AEPS20161213007
基于不确定测度的电力系统抗差状态估计 (二)模型方法
Uncertain Measure Based Robust State Estimation of Power System Part Two Model and Solution
摘要
Abstract
A multi-objective programming model of state estimation is proposed,which is taking the evaluation index based on the uncertainty measure and the deviation considering the normal rate of measure point as the criterion function.In order to solve this model,the multi-objective programming problem is transformed into a single objective programming problem by the objective programming method.The hyperbolic tangent rectangular pulse and the improved cohesive function are used to approximate infinite norm functions.Consequently,the model is transfered into a single objective programming problem and the objective and constraints in the model are continuous and derivable everywhere.Finally,the Lagrangian multiplier method is used to solve the model.The proposed method has the advantages of adapting to small sample estimation,high normal rate of estimating measure point,small deviation and good robust performance.关键词
状态估计/不确定测度/多目标/双曲正切Key words
state estimation/uncertain measure/multi-objective/hyperbolic tangent引用本文复制引用
陈艳波,谢瀚阳,王鹏,王金丽,刘进,王若兰..基于不确定测度的电力系统抗差状态估计 (二)模型方法[J].电力系统自动化,2018,42(2):26-33,8.基金项目
国家自然科学基金资助项目(51407069) （51407069）
中央高校基本科研业务费专项资金资助项目(2016YQ02). This work is supported by National Natural Science Foundation of China (No.51407069) and Fundamental Research Funds for the Central Universities (No.2016YQ02). （2016YQ02）
