Imperial College London
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ProfessorBikashPal

Faculty of Engineering, Department of Electrical and Electronic Engineering

Professor of Power Systems
 
 
 
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Contact

 

+44 (0)20 7594 6172b.pal Website CV

 
 
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Assistant

 

Miss Guler Eroglu +44 (0)20 7594 6170

 
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Location

 

1104Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Zhao:2021:10.1109/tpwrs.2020.3028047,
author = {Zhao, J and Netto, M and Huang, Z and Yu, SS and Gomez-Exposito, A and Wang, S and Kamwa, I and Akhlaghi, S and Mili, L and Terzija, V and Meliopoulos, APS and Pal, B and Singh, AK and Abur, A and Bi, T and Rouhani, A},
doi = {10.1109/tpwrs.2020.3028047},
journal = {IEEE Transactions on Power Systems},
pages = {2462--2472},
title = {Roles of dynamic state estimation in power system modeling, monitoring and operation},
url = {http://dx.doi.org/10.1109/tpwrs.2020.3028047},
volume = {36},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Power system dynamic state estimation (DSE) remains an active research area. This is driven by the absence of accurate models, the increasing availability of fast-sampled, time-synchronized measurements, and the advances in the capability, scalability, and affordability of computing and communications. This paper discusses the advantages of DSE as compared to static state estimation, and the implementation differences between the two, including the measurement configuration, modeling framework and support software features. The important roles of DSE are discussed from modeling, monitoring and operation aspects for today's synchronous machine dominated systems and the future power electronics-interfaced generation systems. Several examples are presented to demonstrate the benefits of DSE on enhancing the operational robustness and resilience of 21st century power system through time critical applications. Future research directions are identified and discussed, paving the way for developing the next generation of energy management systems and novel system monitoring, control and protection tools to achieve better reliability and resiliency.
AU  - Zhao,J
AU  - Netto,M
AU  - Huang,Z
AU  - Yu,SS
AU  - Gomez-Exposito,A
AU  - Wang,S
AU  - Kamwa,I
AU  - Akhlaghi,S
AU  - Mili,L
AU  - Terzija,V
AU  - Meliopoulos,APS
AU  - Pal,B
AU  - Singh,AK
AU  - Abur,A
AU  - Bi,T
AU  - Rouhani,A
DO  - 10.1109/tpwrs.2020.3028047
EP  - 2472
PY  - 2021///
SN  - 0885-8950
SP  - 2462
TI  - Roles of dynamic state estimation in power system modeling, monitoring and operation
T2  - IEEE Transactions on Power Systems
UR  - http://dx.doi.org/10.1109/tpwrs.2020.3028047
UR  - https://ieeexplore.ieee.org/document/9210125
UR  - http://hdl.handle.net/10044/1/93095
VL  - 36
ER  -
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