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{Anagnostou:2018:10.1109/TPWRS.2017.2771278,
author = {Anagnostou, G and Boem, F and Kuenzel, S and Pal, BC and Parisini, T},
doi = {10.1109/TPWRS.2017.2771278},
journal = {IEEE Transactions on Power Systems},
pages = {4228--4237},
title = {Observer-based anomaly detection of synchronous generators for power systems monitoring},
url = {http://dx.doi.org/10.1109/TPWRS.2017.2771278},
volume = {33},
year = {2018}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - This paper proposes a rigorous anomaly detectionscheme, developed to spot power system operational changeswhich are inconsistent with the models used by operators. Thisnovel technique relies on a state observer, with guaranteedestimation error convergence, suitable to be implemented in realtime, and it has been developed to fully address this importantissue in power systems. The proposed method is fitted to thehighly nonlinear characteristics of the network, with the statesof the nonlinear generator model being estimated by meansof a linear time-varying estimation scheme. Given the relianceof the existing dynamic security assessment tools in industryon nominal power system models, the suggested methodologyaddresses cases when there is deviation from assumed systemdynamics, enhancing operators’ awareness of system operation.It is based on a decision scheme relying on analytical computationof thresholds, not involving empirical criteria which are likely tointroduce inaccurate outcomes. Since false-alarms are guaranteedto be absent, the proposed technique turns out to be very usefulfor system monitoring and control. The effectiveness of theanomaly detection algorithm is shown through detailed realisticcase studies in two power system models.
AU  - Anagnostou,G
AU  - Boem,F
AU  - Kuenzel,S
AU  - Pal,BC
AU  - Parisini,T
DO  - 10.1109/TPWRS.2017.2771278
EP  - 4237
PY  - 2018///
SN  - 0885-8950
SP  - 4228
TI  - Observer-based anomaly detection of synchronous generators for power systems monitoring
T2  - IEEE Transactions on Power Systems
UR  - http://dx.doi.org/10.1109/TPWRS.2017.2771278
UR  - http://hdl.handle.net/10044/1/52926
VL  - 33
ER  -
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