Hybridization of WLS and LMR: a Robust Solution for Power System State Estimation

Mohammad Shoaib Shahriar; Ibrahim Omar Habiballah

doi:10.1109/iSPEC54162.2022.10033063

Hybridization of WLS and LMR: a Robust Solution for Power System State Estimation

Mohammad Shoaib Shahriar
, Ibrahim Omar Habiballah^*

^*Corresponding author for this work

Department of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

Ensuring accurate estimation of the power system states (bus-voltage's magnitude and angle) is a prime requirement for its protection, monitoring and controlling. Meters might provide wrong measurement readings that could cause deterioration of the estimation performance. Consequently, dealing with such bad data (single or multiple) is one of the major challenges in the field of power system State Estimation (SE). There are some estimators which have the capability of filtering out the bad measurements during the estimation process. This paper presents a novel way of hybridizing two of the eminent estimators: Weighted Least Square (WLS) and Least Measurement Rejected (LMR). The proposed technique has the capability of dealing with different single and multiple bad data scenarios successfully. It also provides a solution to the problem of proper selection of measurement tolerance for LMR estimator. The performance of the proposed estimator is compared with WLS and the robust Weighted Least Absolute Value (WLAV) estimators. IEEE 30-bus and 118-bus systems are used to demonstrate the robustness of the proposed estimator.

Original language	English
Title of host publication	Proceedings - 2022 IEEE Sustainable Power and Energy Conference, iSPEC 2022
Editors	Ehsan Pashajavid, Dowon Kim, Sumedha Rajakaruna, Ahmed Abu-Siada
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665485227
DOIs	https://doi.org/10.1109/iSPEC54162.2022.10033063
State	Published - 2022
Event	4th IEEE Sustainable Power and Energy Conference, iSPEC 2022 - Virtual, Online, Australia Duration: 4 Dec 2022 → 7 Dec 2022

Publication series

Name	Proceedings - 2022 IEEE Sustainable Power and Energy Conference, iSPEC 2022

Conference

Conference	4th IEEE Sustainable Power and Energy Conference, iSPEC 2022
Country/Territory	Australia
City	Virtual, Online
Period	4/12/22 → 7/12/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

Bad data
Hybridization
Least Measurement Rejected
State Estimation
Weighted Least Absolute Value
Weighted Least Square

ASJC Scopus subject areas

Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Electrical and Electronic Engineering
Safety, Risk, Reliability and Quality
Control and Optimization

Access to Document

10.1109/iSPEC54162.2022.10033063

Cite this

Shahriar, M. S., & Habiballah, I. O. (2022). Hybridization of WLS and LMR: a Robust Solution for Power System State Estimation. In E. Pashajavid, D. Kim, S. Rajakaruna, & A. Abu-Siada (Eds.), Proceedings - 2022 IEEE Sustainable Power and Energy Conference, iSPEC 2022 (Proceedings - 2022 IEEE Sustainable Power and Energy Conference, iSPEC 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/iSPEC54162.2022.10033063

Shahriar, Mohammad Shoaib ; Habiballah, Ibrahim Omar. / Hybridization of WLS and LMR : a Robust Solution for Power System State Estimation. Proceedings - 2022 IEEE Sustainable Power and Energy Conference, iSPEC 2022. editor / Ehsan Pashajavid ; Dowon Kim ; Sumedha Rajakaruna ; Ahmed Abu-Siada. Institute of Electrical and Electronics Engineers Inc., 2022. (Proceedings - 2022 IEEE Sustainable Power and Energy Conference, iSPEC 2022).

@inproceedings{ecba9bca8fca4cfc9f8699e87e1f10fa,

title = "Hybridization of WLS and LMR: a Robust Solution for Power System State Estimation",

abstract = "Ensuring accurate estimation of the power system states (bus-voltage's magnitude and angle) is a prime requirement for its protection, monitoring and controlling. Meters might provide wrong measurement readings that could cause deterioration of the estimation performance. Consequently, dealing with such bad data (single or multiple) is one of the major challenges in the field of power system State Estimation (SE). There are some estimators which have the capability of filtering out the bad measurements during the estimation process. This paper presents a novel way of hybridizing two of the eminent estimators: Weighted Least Square (WLS) and Least Measurement Rejected (LMR). The proposed technique has the capability of dealing with different single and multiple bad data scenarios successfully. It also provides a solution to the problem of proper selection of measurement tolerance for LMR estimator. The performance of the proposed estimator is compared with WLS and the robust Weighted Least Absolute Value (WLAV) estimators. IEEE 30-bus and 118-bus systems are used to demonstrate the robustness of the proposed estimator.",

keywords = "Bad data, Hybridization, Least Measurement Rejected, State Estimation, Weighted Least Absolute Value, Weighted Least Square",

author = "Shahriar, \{Mohammad Shoaib\} and Habiballah, \{Ibrahim Omar\}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 4th IEEE Sustainable Power and Energy Conference, iSPEC 2022 ; Conference date: 04-12-2022 Through 07-12-2022",

year = "2022",

doi = "10.1109/iSPEC54162.2022.10033063",

language = "English",

series = "Proceedings - 2022 IEEE Sustainable Power and Energy Conference, iSPEC 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

editor = "Ehsan Pashajavid and Dowon Kim and Sumedha Rajakaruna and Ahmed Abu-Siada",

booktitle = "Proceedings - 2022 IEEE Sustainable Power and Energy Conference, iSPEC 2022",

address = "United States",

}

Shahriar, MS & Habiballah, IO 2022, Hybridization of WLS and LMR: a Robust Solution for Power System State Estimation. in E Pashajavid, D Kim, S Rajakaruna & A Abu-Siada (eds), Proceedings - 2022 IEEE Sustainable Power and Energy Conference, iSPEC 2022. Proceedings - 2022 IEEE Sustainable Power and Energy Conference, iSPEC 2022, Institute of Electrical and Electronics Engineers Inc., 4th IEEE Sustainable Power and Energy Conference, iSPEC 2022, Virtual, Online, Australia, 4/12/22. https://doi.org/10.1109/iSPEC54162.2022.10033063

Hybridization of WLS and LMR: a Robust Solution for Power System State Estimation. / Shahriar, Mohammad Shoaib; Habiballah, Ibrahim Omar.
Proceedings - 2022 IEEE Sustainable Power and Energy Conference, iSPEC 2022. ed. / Ehsan Pashajavid; Dowon Kim; Sumedha Rajakaruna; Ahmed Abu-Siada. Institute of Electrical and Electronics Engineers Inc., 2022. (Proceedings - 2022 IEEE Sustainable Power and Energy Conference, iSPEC 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Hybridization of WLS and LMR

T2 - 4th IEEE Sustainable Power and Energy Conference, iSPEC 2022

AU - Shahriar, Mohammad Shoaib

AU - Habiballah, Ibrahim Omar

PY - 2022

Y1 - 2022

N2 - Ensuring accurate estimation of the power system states (bus-voltage's magnitude and angle) is a prime requirement for its protection, monitoring and controlling. Meters might provide wrong measurement readings that could cause deterioration of the estimation performance. Consequently, dealing with such bad data (single or multiple) is one of the major challenges in the field of power system State Estimation (SE). There are some estimators which have the capability of filtering out the bad measurements during the estimation process. This paper presents a novel way of hybridizing two of the eminent estimators: Weighted Least Square (WLS) and Least Measurement Rejected (LMR). The proposed technique has the capability of dealing with different single and multiple bad data scenarios successfully. It also provides a solution to the problem of proper selection of measurement tolerance for LMR estimator. The performance of the proposed estimator is compared with WLS and the robust Weighted Least Absolute Value (WLAV) estimators. IEEE 30-bus and 118-bus systems are used to demonstrate the robustness of the proposed estimator.

AB - Ensuring accurate estimation of the power system states (bus-voltage's magnitude and angle) is a prime requirement for its protection, monitoring and controlling. Meters might provide wrong measurement readings that could cause deterioration of the estimation performance. Consequently, dealing with such bad data (single or multiple) is one of the major challenges in the field of power system State Estimation (SE). There are some estimators which have the capability of filtering out the bad measurements during the estimation process. This paper presents a novel way of hybridizing two of the eminent estimators: Weighted Least Square (WLS) and Least Measurement Rejected (LMR). The proposed technique has the capability of dealing with different single and multiple bad data scenarios successfully. It also provides a solution to the problem of proper selection of measurement tolerance for LMR estimator. The performance of the proposed estimator is compared with WLS and the robust Weighted Least Absolute Value (WLAV) estimators. IEEE 30-bus and 118-bus systems are used to demonstrate the robustness of the proposed estimator.

KW - Bad data

KW - Hybridization

KW - Least Measurement Rejected

KW - State Estimation

KW - Weighted Least Absolute Value

KW - Weighted Least Square

UR - https://www.scopus.com/pages/publications/85148585854

U2 - 10.1109/iSPEC54162.2022.10033063

DO - 10.1109/iSPEC54162.2022.10033063

M3 - Conference contribution

AN - SCOPUS:85148585854

T3 - Proceedings - 2022 IEEE Sustainable Power and Energy Conference, iSPEC 2022

BT - Proceedings - 2022 IEEE Sustainable Power and Energy Conference, iSPEC 2022

A2 - Pashajavid, Ehsan

A2 - Kim, Dowon

A2 - Rajakaruna, Sumedha

A2 - Abu-Siada, Ahmed

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 4 December 2022 through 7 December 2022

ER -

Shahriar MS, Habiballah IO. Hybridization of WLS and LMR: a Robust Solution for Power System State Estimation. In Pashajavid E, Kim D, Rajakaruna S, Abu-Siada A, editors, Proceedings - 2022 IEEE Sustainable Power and Energy Conference, iSPEC 2022. Institute of Electrical and Electronics Engineers Inc. 2022. (Proceedings - 2022 IEEE Sustainable Power and Energy Conference, iSPEC 2022). doi: 10.1109/iSPEC54162.2022.10033063

Hybridization of WLS and LMR: a Robust Solution for Power System State Estimation

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this