A Novel Robust State Estimator Based on Rectangular Pulse Function

Yanbo Chen; Ruizhi Chen; Yulan Shen; Pu Zhang; Zhaoyan Liu; Yansheng Lang; Xiaonan Yang

doi:10.1109/ACCESS.2019.2931935

IEEE Access (Jan 2019)

A Novel Robust State Estimator Based on Rectangular Pulse Function

Yanbo Chen,
Ruizhi Chen,
Yulan Shen,
Pu Zhang,
Zhaoyan Liu,
Yansheng Lang,
Xiaonan Yang

Affiliations

Yanbo Chen: ORCiD; 1State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of Electrical and Electronic Engineering, North China Electric Power University, Beijing, China
Ruizhi Chen: 1State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of Electrical and Electronic Engineering, North China Electric Power University, Beijing, China
Yulan Shen: 1State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of Electrical and Electronic Engineering, North China Electric Power University, Beijing, China
Pu Zhang: State Grid Beijing Economic Research Institute, Beijing, China
Zhaoyan Liu: State Grid Beijing Electric Power Company, Beijing, China
Yansheng Lang: China Electric Power Research Institute, Beijing, China
Xiaonan Yang: China Electric Power Research Institute, Beijing, China

DOI: https://doi.org/10.1109/ACCESS.2019.2931935
Journal volume & issue: Vol. 7
pp. 113525 – 113533

Abstract

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In this paper, a novel robust state estimator (RSE) based on rectangular pulse function (RPF) is proposed considering the uncertainty in the measurements, leading an ideal RPF estimator. The goal of the proposed ideal RPF estimator is to find an estimate value of the state variables to maximize the number of normal measurements. Considering that the objective function of the ideal RPF estimator is non-differentiable, a differentiable function formed by hyperbolic tangent function is used to replace the objective function of the ideal RPF estimator, leading a practical RPF estimator which is easy to be solved by the primal-dual interior point method. The robustness and high computational efficiency of the proposed RPF estimator are demonstrated by simulations based on the IEEE benchmark systems.

Published in IEEE Access

ISSN: 2169-3536 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering
Website: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639

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