电力系统自动化Issue(8)：66-73,8.DOI:10.7500/AEPS20140402006
一种电力系统量测噪声自适应抗差状态估计方法
An Adaptive Robust State Estimation Approach for Measurement Noise
摘要
Abstract
To overcome the limitations of traditional state estimation in dealing with noise measurement,a general model of robust state estimation (RSE) is proposed based on maximum correntropy criterion (MCC),which is able to unify several existing RSE models in theory and derive new RSE models.An adaptive robust state estimator(ARSE)for measuring noise is proposed,which makes it possible to obtain the distribution type of noise measurement through statistical learning.Then the corresponding optimal RSE model is selected online to adapt to the variation of noise measuring distribution type.ARSE is able to yield optimal estimation results closer to the true values of the state variables for common noise measuring distribution types.Simulation results show the effectiveness of the proposed ARSE.关键词
抗差状态估计/自适应估计/状态估计/最大相关熵准则/电力系统Key words
robust state estimation/adaptive estimation/state estimation/maximum correntropy criterion/power systems引用本文复制引用
陈艳波,马进,文一宇..一种电力系统量测噪声自适应抗差状态估计方法[J].电力系统自动化,2015,(8):66-73,8.基金项目
国家高技术研究发展计划(863计划)资助项目(2012AA050208) （863计划）
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(2014QN02)。This work is supported by National High Technology Research and Development Program of China (863 Program)(No.2012AA050208),National Natural Science Foundation of China (No.51407069) and the Fundamental Research Funds for the Central Universities (No.2014QN02) （2014QN02）
