A Novel Robust State Estimator Based on Rectangular Pulse Function
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...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8781774/ |
| _version_ | 1818642840543035392 |
|---|---|
| author | Yanbo Chen Ruizhi Chen Yulan Shen Pu Zhang Zhaoyan Liu Yansheng Lang Xiaonan Yang |
| author_facet | Yanbo Chen Ruizhi Chen Yulan Shen Pu Zhang Zhaoyan Liu Yansheng Lang Xiaonan Yang |
| author_sort | Yanbo Chen |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-16T23:49:27Z |
| format | Article |
| id | doaj.art-7bd9eeb7dc6d47ed95c11b5c8d2c8bda |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-16T23:49:27Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-7bd9eeb7dc6d47ed95c11b5c8d2c8bda2022-12-21T22:11:23ZengIEEEIEEE Access2169-35362019-01-01711352511353310.1109/ACCESS.2019.29319358781774A Novel Robust State Estimator Based on Rectangular Pulse FunctionYanbo Chen0https://orcid.org/0000-0001-5588-2010Ruizhi Chen1Yulan Shen2Pu Zhang3Zhaoyan Liu4Yansheng Lang5Xiaonan Yang61State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of Electrical and Electronic Engineering, North China Electric Power University, Beijing, China1State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of Electrical and Electronic Engineering, North China Electric Power University, Beijing, China1State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of Electrical and Electronic Engineering, North China Electric Power University, Beijing, ChinaState Grid Beijing Economic Research Institute, Beijing, ChinaState Grid Beijing Electric Power Company, Beijing, ChinaChina Electric Power Research Institute, Beijing, ChinaChina Electric Power Research Institute, Beijing, ChinaIn 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.https://ieeexplore.ieee.org/document/8781774/Bad data identificationrobust state estimation (RSE)rectangular pulse functionstate estimation |
| spellingShingle | Yanbo Chen Ruizhi Chen Yulan Shen Pu Zhang Zhaoyan Liu Yansheng Lang Xiaonan Yang A Novel Robust State Estimator Based on Rectangular Pulse Function IEEE Access Bad data identification robust state estimation (RSE) rectangular pulse function state estimation |
| title | A Novel Robust State Estimator Based on Rectangular Pulse Function |
| title_full | A Novel Robust State Estimator Based on Rectangular Pulse Function |
| title_fullStr | A Novel Robust State Estimator Based on Rectangular Pulse Function |
| title_full_unstemmed | A Novel Robust State Estimator Based on Rectangular Pulse Function |
| title_short | A Novel Robust State Estimator Based on Rectangular Pulse Function |
| title_sort | novel robust state estimator based on rectangular pulse function |
| topic | Bad data identification robust state estimation (RSE) rectangular pulse function state estimation |
| url | https://ieeexplore.ieee.org/document/8781774/ |
| work_keys_str_mv | AT yanbochen anovelrobuststateestimatorbasedonrectangularpulsefunction AT ruizhichen anovelrobuststateestimatorbasedonrectangularpulsefunction AT yulanshen anovelrobuststateestimatorbasedonrectangularpulsefunction AT puzhang anovelrobuststateestimatorbasedonrectangularpulsefunction AT zhaoyanliu anovelrobuststateestimatorbasedonrectangularpulsefunction AT yanshenglang anovelrobuststateestimatorbasedonrectangularpulsefunction AT xiaonanyang anovelrobuststateestimatorbasedonrectangularpulsefunction AT yanbochen novelrobuststateestimatorbasedonrectangularpulsefunction AT ruizhichen novelrobuststateestimatorbasedonrectangularpulsefunction AT yulanshen novelrobuststateestimatorbasedonrectangularpulsefunction AT puzhang novelrobuststateestimatorbasedonrectangularpulsefunction AT zhaoyanliu novelrobuststateestimatorbasedonrectangularpulsefunction AT yanshenglang novelrobuststateestimatorbasedonrectangularpulsefunction AT xiaonanyang novelrobuststateestimatorbasedonrectangularpulsefunction |