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Power system dynamic state estimation: Motivations, definitions, methodologies and future work

Power system dynamic state estimation: Motivations, definitions, methodologies and future work
Power system dynamic state estimation: Motivations, definitions, methodologies and future work
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.
0885-8950
3188 - 3198
Zhao, Junbo
28dc6b6e-c37b-4bd2-8336-b0010dcb8502
Gomez-Exposito, Antonio
09105f61-a289-42aa-a206-65f68c80fca9
Netto, Marcos
ad2361f8-0c26-4efb-bd55-232fbd6326ad
Mili, Lamine
d9d3e578-859c-485c-93f6-5ebc165df1c2
Abur, Ali
f62414be-a958-40ce-9ea7-778e42348e89
Terzija, Vladimir
914536dc-940d-4642-945f-cbce4d2c8ec3
Kamwa, Innocent
f58f0495-2fd9-404f-ab43-322dffda07bf
Pal, Bikash Chandra
3a9349b4-c9e5-4740-8564-92350e677ebe
Singh, Abhinav Kumar
6df7029f-21e3-4a06-b5f7-da46f35fc8d3
Qi, Junjian
93866558-3968-4bea-89ef-2c8754a7153e
Huang, Zhenyu
0aed8c31-b097-4fcc-811d-69fd0916de4f
Meliopoulos, A. P. Sakis
920e5f14-0fdb-4ba5-85c5-66847d7a0abc
Zhao, Junbo
28dc6b6e-c37b-4bd2-8336-b0010dcb8502
Gomez-Exposito, Antonio
09105f61-a289-42aa-a206-65f68c80fca9
Netto, Marcos
ad2361f8-0c26-4efb-bd55-232fbd6326ad
Mili, Lamine
d9d3e578-859c-485c-93f6-5ebc165df1c2
Abur, Ali
f62414be-a958-40ce-9ea7-778e42348e89
Terzija, Vladimir
914536dc-940d-4642-945f-cbce4d2c8ec3
Kamwa, Innocent
f58f0495-2fd9-404f-ab43-322dffda07bf
Pal, Bikash Chandra
3a9349b4-c9e5-4740-8564-92350e677ebe
Singh, Abhinav Kumar
6df7029f-21e3-4a06-b5f7-da46f35fc8d3
Qi, Junjian
93866558-3968-4bea-89ef-2c8754a7153e
Huang, Zhenyu
0aed8c31-b097-4fcc-811d-69fd0916de4f
Meliopoulos, A. P. Sakis
920e5f14-0fdb-4ba5-85c5-66847d7a0abc

Zhao, Junbo, Gomez-Exposito, Antonio, Netto, Marcos, Mili, Lamine, Abur, Ali, Terzija, Vladimir, Kamwa, Innocent, Pal, Bikash Chandra, Singh, Abhinav Kumar, Qi, Junjian, Huang, Zhenyu and Meliopoulos, A. P. Sakis (2019) Power system dynamic state estimation: Motivations, definitions, methodologies and future work. IEEE Transactions on Power Systems, 34 (4), 3188 - 3198. (doi:10.1109/TPWRS.2019.2894769).

Record type: Article

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.

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More information

Accepted/In Press date: 18 January 2019
e-pub ahead of print date: 23 January 2019
Published date: July 2019

Identifiers

Local EPrints ID: 430934
URI: http://eprints.soton.ac.uk/id/eprint/430934
ISSN: 0885-8950
PURE UUID: 9b9584ad-6315-41ee-aeb5-7dbb9205a90e
ORCID for Abhinav Kumar Singh: ORCID iD orcid.org/0000-0003-3376-6435

Catalogue record

Date deposited: 17 May 2019 16:30
Last modified: 12 Feb 2020 01:46

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Contributors

Author: Junbo Zhao
Author: Antonio Gomez-Exposito
Author: Marcos Netto
Author: Lamine Mili
Author: Ali Abur
Author: Vladimir Terzija
Author: Innocent Kamwa
Author: Bikash Chandra Pal
Author: Abhinav Kumar Singh ORCID iD
Author: Junjian Qi
Author: Zhenyu Huang
Author: A. P. Sakis Meliopoulos

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