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Power system dynamic state and parameter estimation-transition to power electronics-dominated clean energy systems: IEEE task force on power system dynamic state and parameter estimation

Power system dynamic state and parameter estimation-transition to power electronics-dominated clean energy systems: IEEE task force on power system dynamic state and parameter estimation
Power system dynamic state and parameter estimation-transition to power electronics-dominated clean energy systems: IEEE task force on power system dynamic state and parameter estimation
This report of TF on dynamic state and parameter estimation aims to 1) clearly review its motivations and definitions, demonstrate its values for enhanced power system modeling, monitoring, operation, control and protection as well as power engineering education; 2) provide recommendations to vendors, national labs, utilities and ISOs on the use of dynamic state estimator for enhancement of the reliability, security, and resiliency of electric power systems.
PES-TR88
IEEE
Zhao, Junbo
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Singh, Abhinav Kumar
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Mir, Abdul Saleem
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Taha, Ahmad
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Abur, Ali
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Gomez-Exposito, Antonio
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Meliopoulos, A.P. Sakis
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Pal, Bikash
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Kamwa, Innocent
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Qi, Junjian
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Mili, Lamine
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Ariff, M.A.M.
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Netto, Marcos
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Glavic, Mevludin
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Yu, Samson Shenglong
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Wang, Shaobu
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Bi, Tianshu
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Van Cutsem, Thierry
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Terzija, Vladimir
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Liu, Yu
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Huang, Zhenyu
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Zhao, Junbo
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Singh, Abhinav Kumar
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Mir, Abdul Saleem
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Taha, Ahmad
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Abur, Ali
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Gomez-Exposito, Antonio
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Meliopoulos, A.P. Sakis
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Pal, Bikash
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Kamwa, Innocent
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Qi, Junjian
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Mili, Lamine
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Ariff, M.A.M.
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Netto, Marcos
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Glavic, Mevludin
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Yu, Samson Shenglong
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Wang, Shaobu
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Bi, Tianshu
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Van Cutsem, Thierry
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Terzija, Vladimir
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Liu, Yu
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Huang, Zhenyu
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Zhao, Junbo, Singh, Abhinav Kumar, Mir, Abdul Saleem, Taha, Ahmad, Abur, Ali, Gomez-Exposito, Antonio, Meliopoulos, A.P. Sakis, Pal, Bikash, Kamwa, Innocent, Qi, Junjian, Mili, Lamine, Ariff, M.A.M., Netto, Marcos, Glavic, Mevludin, Yu, Samson Shenglong, Wang, Shaobu, Bi, Tianshu, Van Cutsem, Thierry, Terzija, Vladimir, Liu, Yu and Huang, Zhenyu (2021) Power system dynamic state and parameter estimation-transition to power electronics-dominated clean energy systems: IEEE task force on power system dynamic state and parameter estimation (IEEE Technical Report, PES-TR88) IEEE 90pp.

Record type: Monograph (Project Report)

Abstract

This report of TF on dynamic state and parameter estimation aims to 1) clearly review its motivations and definitions, demonstrate its values for enhanced power system modeling, monitoring, operation, control and protection as well as power engineering education; 2) provide recommendations to vendors, national labs, utilities and ISOs on the use of dynamic state estimator for enhancement of the reliability, security, and resiliency of electric power systems.

Text
TR88 - IEEE_Task Force on DSE_TechnicalReport_PSOPE_accepted_version - Accepted Manuscript
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Published date: 30 June 2021

Identifiers

Local EPrints ID: 450816
URI: http://eprints.soton.ac.uk/id/eprint/450816
PURE UUID: f3aea13b-c993-4dae-8c60-9cabe5e04279
ORCID for Abhinav Kumar Singh: ORCID iD orcid.org/0000-0003-3376-6435

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Date deposited: 12 Aug 2021 16:31
Last modified: 17 Aug 2022 01:56

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Contributors

Author: Junbo Zhao
Author: Abhinav Kumar Singh ORCID iD
Author: Abdul Saleem Mir
Author: Ahmad Taha
Author: Ali Abur
Author: Antonio Gomez-Exposito
Author: A.P. Sakis Meliopoulos
Author: Bikash Pal
Author: Innocent Kamwa
Author: Junjian Qi
Author: Lamine Mili
Author: M.A.M. Ariff
Author: Marcos Netto
Author: Mevludin Glavic
Author: Samson Shenglong Yu
Author: Shaobu Wang
Author: Tianshu Bi
Author: Thierry Van Cutsem
Author: Vladimir Terzija
Author: Yu Liu
Author: Zhenyu Huang

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