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Title: Power System Dynamic State Estimation: Motivations, Definitions, Methodologies and Future Work

Abstract

This paper summarizes the technical activities of the Task Force on Power System Dynamic State and Parameter Estimation. This Task Force was established by the IEEE Working Group on State Estimation Algorithms to investigate the added benefits of dynamic state and parameter estimation for the enhancement of the reliability, security, and resilience of electric power systems. The motivations and engineering values of dynamic state estimation (DSE) are discussed in detail. Then, a set of potential applications that will rely on DSE is presented and discussed. Furthermore, a unified framework is proposed to clarify the important concepts related to DSE, forecasting-aided state estimation, tracking state estimation and static state estimation. An overview of the current progress in DSE and dynamic parameter estimation is provided. The paper also provides future research needs and directions for the power engineering community.

Authors:
 [1];  [2];  [3];  [3];  [4];  [5];  [6];  [7];  [8];  [9]; ORCiD logo [10];  [11]
  1. Virginia Polytechnic Institute
  2. University of Seville
  3. Virginia Tech
  4. Northeastern University
  5. The University of Manchester
  6. Hydro-Quebec Research Institute
  7. Imperial College London
  8. University of Southampton
  9. University of Central Florida
  10. BATTELLE (PACIFIC NW LAB)
  11. Georgia Institute Of Technology
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1567197
Report Number(s):
PNNL-SA-147864
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Journal Article
Journal Name:
IEEE Transactions on Power Systems
Additional Journal Information:
Journal Volume: 34; Journal Issue: 4
Country of Publication:
United States
Language:
English
Subject:
task force, dynamic state estimation, Parameter Estimation, Electric Power Systems

Citation Formats

Zhao, Junbo, Gómez-Expósito, Antonio, Netto, Marcos, Mili, Lamine, Abur, Ali, Terzija, Vladimir, Kamwa, Innocent, Pal, Bikash, Singh, Abhinav Kumar, Qi, Junjian, Huang, Zhenyu, and Meliopoulos, Sakis. Power System Dynamic State Estimation: Motivations, Definitions, Methodologies and Future Work. United States: N. p., 2019. Web. doi:10.1109/TPWRS.2019.2894769.
Zhao, Junbo, Gómez-Expósito, Antonio, Netto, Marcos, Mili, Lamine, Abur, Ali, Terzija, Vladimir, Kamwa, Innocent, Pal, Bikash, Singh, Abhinav Kumar, Qi, Junjian, Huang, Zhenyu, & Meliopoulos, Sakis. Power System Dynamic State Estimation: Motivations, Definitions, Methodologies and Future Work. United States. doi:10.1109/TPWRS.2019.2894769.
Zhao, Junbo, Gómez-Expósito, Antonio, Netto, Marcos, Mili, Lamine, Abur, Ali, Terzija, Vladimir, Kamwa, Innocent, Pal, Bikash, Singh, Abhinav Kumar, Qi, Junjian, Huang, Zhenyu, and Meliopoulos, Sakis. Mon . "Power System Dynamic State Estimation: Motivations, Definitions, Methodologies and Future Work". United States. doi:10.1109/TPWRS.2019.2894769.
@article{osti_1567197,
title = {Power System Dynamic State Estimation: Motivations, Definitions, Methodologies and Future Work},
author = {Zhao, Junbo and Gómez-Expósito, Antonio and Netto, Marcos and Mili, Lamine and Abur, Ali and Terzija, Vladimir and Kamwa, Innocent and Pal, Bikash and Singh, Abhinav Kumar and Qi, Junjian and Huang, Zhenyu and Meliopoulos, Sakis},
abstractNote = {This paper summarizes the technical activities of the Task Force on Power System Dynamic State and Parameter Estimation. This Task Force was established by the IEEE Working Group on State Estimation Algorithms to investigate the added benefits of dynamic state and parameter estimation for the enhancement of the reliability, security, and resilience of electric power systems. The motivations and engineering values of dynamic state estimation (DSE) are discussed in detail. Then, a set of potential applications that will rely on DSE is presented and discussed. Furthermore, a unified framework is proposed to clarify the important concepts related to DSE, forecasting-aided state estimation, tracking state estimation and static state estimation. An overview of the current progress in DSE and dynamic parameter estimation is provided. The paper also provides future research needs and directions for the power engineering community.},
doi = {10.1109/TPWRS.2019.2894769},
journal = {IEEE Transactions on Power Systems},
number = 4,
volume = 34,
place = {United States},
year = {2019},
month = {7}
}