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

Junbo Zhao; Antonio Gómez-Expósito; Marcos Netto; Lamine Mili; Ali Abur; Vladimir Terzija; Innocent Kamwa; Bikash Pal; Abhinav Kumar Singh; Junjian Qi; Zhenyu Huang; A. P.Sakis Meliopoulos

doi:10.1109/TPWRS.2019.2894769

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

Junbo Zhao, Antonio Gómez-Expósito, Marcos Netto, Lamine Mili, Ali Abur, Vladimir Terzija, Innocent Kamwa, Bikash Pal, Abhinav Kumar Singh, Junjian Qi, Zhenyu Huang, A. P.Sakis Meliopoulos

Research output: Contribution to journal › Article › peer-review

492 Scopus citations

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.

Original language	English (US)
Article number	8624411
Pages (from-to)	3188-3198
Number of pages	11
Journal	IEEE Transactions on Power Systems
Volume	34
Issue number	4
DOIs	https://doi.org/10.1109/TPWRS.2019.2894769
State	Published - Jul 2019
Externally published	Yes

All Science Journal Classification (ASJC) codes

Energy Engineering and Power Technology
Electrical and Electronic Engineering

Keywords

Dynamic state estimation (DSE)
Kalman filtering
bad data
forecasting-aided state estimation (FASE)
parameter estimation
power system dynamics
power system protection
power system stability and control
robust estimation
static state estimation (SSE)
synchrophasor measurements
tracking state estimation (TSE)

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10.1109/TPWRS.2019.2894769

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Zhao, J., Gómez-Expósito, A., Netto, M., Mili, L., Abur, A., Terzija, V., Kamwa, I., Pal, B., Singh, A. K., Qi, J., Huang, Z., & Meliopoulos, A. P. S. (2019). Power System Dynamic State Estimation: Motivations, Definitions, Methodologies, and Future Work. IEEE Transactions on Power Systems, 34(4), 3188-3198. Article 8624411. https://doi.org/10.1109/TPWRS.2019.2894769

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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.",

keywords = "Dynamic state estimation (DSE), Kalman filtering, bad data, forecasting-aided state estimation (FASE), parameter estimation, power system dynamics, power system protection, power system stability and control, robust estimation, static state estimation (SSE), synchrophasor measurements, tracking state estimation (TSE)",

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AU - Abur, Ali

AU - Terzija, Vladimir

AU - Kamwa, Innocent

AU - Pal, Bikash

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AU - Huang, Zhenyu

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AB - 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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KW - Kalman filtering

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KW - power system protection

KW - power system stability and control

KW - robust estimation

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KW - synchrophasor measurements

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

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Keywords

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