Robust decentralized dynamic state estimation considering instrumentation chain anomalies
Robust decentralized dynamic state estimation considering instrumentation chain anomalies
A decentralized method for estimating the interior states of a synchronous machine using analogue measurements from instrument transformers (that is, current transformer and potential transformer) has been proposed in this paper. The method is robust to instrumentation chain anomalies, which have not been considered in the existing dynamic state estimation literature. The method works in a two-step manner, wherein a robust adaptive detection scheme removes instrument transformer anomalies, harmonics, noise, and DC components, and estimates the phasors of the analogue measurements, and subsequently uses these estimated phasors in the decentralized dynamic state estimation algorithm. Robust and adaptive version of square-root-cubature-Kalman-filter has been employed to enhance estimation accuracy irrespective of the type of noise distribution. The superiority of the algorithm over existing methods has been established in terms of numerical accuracy, computational efficacy, and robustness. IEEE 68 bus power system has been used to test the effectiveness of the developed strategy. Opal-RT based setup has also been used to implement the case studies in real-time.
Automatic voltage regulator (AVR), Control, Dynamics, Estimation, Instrument Transformer, Lyapunov, Power System Stabilizer (PSS), Phasors, Synchronous machine.
Mir, Abdul Saleem
491bb457-cbe5-4705-ab36-860b78763332
Singh, Abhinav Kumar
6df7029f-21e3-4a06-b5f7-da46f35fc8d3
Senroy, Nilanjan
b4565b4f-78eb-4a88-8af9-9d8c29238a4d
Mir, Abdul Saleem
491bb457-cbe5-4705-ab36-860b78763332
Singh, Abhinav Kumar
6df7029f-21e3-4a06-b5f7-da46f35fc8d3
Senroy, Nilanjan
b4565b4f-78eb-4a88-8af9-9d8c29238a4d
Mir, Abdul Saleem, Singh, Abhinav Kumar and Senroy, Nilanjan
(2022)
Robust decentralized dynamic state estimation considering instrumentation chain anomalies.
IEEE Transactions on Power Systems.
(doi:10.1109/TPWRS.2022.3230842).
Abstract
A decentralized method for estimating the interior states of a synchronous machine using analogue measurements from instrument transformers (that is, current transformer and potential transformer) has been proposed in this paper. The method is robust to instrumentation chain anomalies, which have not been considered in the existing dynamic state estimation literature. The method works in a two-step manner, wherein a robust adaptive detection scheme removes instrument transformer anomalies, harmonics, noise, and DC components, and estimates the phasors of the analogue measurements, and subsequently uses these estimated phasors in the decentralized dynamic state estimation algorithm. Robust and adaptive version of square-root-cubature-Kalman-filter has been employed to enhance estimation accuracy irrespective of the type of noise distribution. The superiority of the algorithm over existing methods has been established in terms of numerical accuracy, computational efficacy, and robustness. IEEE 68 bus power system has been used to test the effectiveness of the developed strategy. Opal-RT based setup has also been used to implement the case studies in real-time.
Text
Robust_Decentralized_Dynamic_State_Estimation_Considering_Instrumentation_Chain_Anomalies
- Accepted Manuscript
More information
Accepted/In Press date: 13 December 2022
e-pub ahead of print date: 22 December 2022
Additional Information:
This work was supported by EPSRC UK under Grant EP/T021713/1.
Keywords:
Automatic voltage regulator (AVR), Control, Dynamics, Estimation, Instrument Transformer, Lyapunov, Power System Stabilizer (PSS), Phasors, Synchronous machine.
Identifiers
Local EPrints ID: 474402
URI: http://eprints.soton.ac.uk/id/eprint/474402
ISSN: 0885-8950
PURE UUID: 11377b74-0a6f-4dd2-a9ac-769ae729c4ab
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Date deposited: 21 Feb 2023 17:49
Last modified: 17 Mar 2024 03:56
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Contributors
Author:
Abdul Saleem Mir
Author:
Abhinav Kumar Singh
Author:
Nilanjan Senroy
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