Total variation based joint detection and state estimation for wireless communication in smart grids
Total variation based joint detection and state estimation for wireless communication in smart grids
A novel total variation (TV) framework is conceived for joint detection and dynamic state estimation (JDSE) for wireless transmission from the measurement devices to the control center in a smart grid. The proposed scheme employs a TV regularization based decoder in conjunction with a Kalman filter-based dynamic power system state estimator to minimize the detection error for transmission of the measurements over a fading wireless channel. A novel application of the Viterbi algorithm is proposed for TV detection of the received measurement vectors. Furthermore, the proposed JDSE scheme is also extended to a system in which each measurement is quantized to a single bit. This reduced-bandwidth-based TV-JDSE leads to a significant bandwidth efficiency improvement in the smart grid and to improved state estimation. Our simulation results provided for the standard IEEE-14 bus test system under different operating conditions demonstrate improved performance in comparison to conventional techniques and they are capable of approaching the ideal Clairvoyant Kalman filter benchmark.
dynamic state estimation, Kalman filter, PMU, SCADA, Smart grids, total variation, Viterbi algorithm, wireless communication
31598-31614
Kudeshia, Ankit
a306ce47-5d61-495a-824b-ab9823344bc8
Jagannatham, Aditya K.
ea2f628b-0f2a-48a3-a293-122c809757aa
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Kudeshia, Ankit
a306ce47-5d61-495a-824b-ab9823344bc8
Jagannatham, Aditya K.
ea2f628b-0f2a-48a3-a293-122c809757aa
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Kudeshia, Ankit, Jagannatham, Aditya K. and Hanzo, Lajos
(2019)
Total variation based joint detection and state estimation for wireless communication in smart grids.
IEEE Access, 7, , [8654608].
(doi:10.1109/ACCESS.2019.2902325).
Abstract
A novel total variation (TV) framework is conceived for joint detection and dynamic state estimation (JDSE) for wireless transmission from the measurement devices to the control center in a smart grid. The proposed scheme employs a TV regularization based decoder in conjunction with a Kalman filter-based dynamic power system state estimator to minimize the detection error for transmission of the measurements over a fading wireless channel. A novel application of the Viterbi algorithm is proposed for TV detection of the received measurement vectors. Furthermore, the proposed JDSE scheme is also extended to a system in which each measurement is quantized to a single bit. This reduced-bandwidth-based TV-JDSE leads to a significant bandwidth efficiency improvement in the smart grid and to improved state estimation. Our simulation results provided for the standard IEEE-14 bus test system under different operating conditions demonstrate improved performance in comparison to conventional techniques and they are capable of approaching the ideal Clairvoyant Kalman filter benchmark.
Text
08654608
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e-pub ahead of print date: 28 February 2019
Keywords:
dynamic state estimation, Kalman filter, PMU, SCADA, Smart grids, total variation, Viterbi algorithm, wireless communication
Identifiers
Local EPrints ID: 431027
URI: http://eprints.soton.ac.uk/id/eprint/431027
ISSN: 2169-3536
PURE UUID: 2f9af9f7-ca51-4023-9545-25a1a4730acb
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Date deposited: 22 May 2019 16:30
Last modified: 06 Jun 2024 01:32
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Contributors
Author:
Ankit Kudeshia
Author:
Aditya K. Jagannatham
Author:
Lajos Hanzo
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