Power capacity management of dynamic voltage restorers used for voltage sag and unbalance compensation

© 2017 IEEE. Voltage sag and voltage unbalance can be considered as the major power quality concerns in low voltage distribution networks. A dynamic voltage restorer (DVR) is commonly used to provide voltage support for load buses containing critical loads. In practice, however, the limited power ca...

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Main Authors: Far, M., Pashajavid, Ehsan, Ghosh, Arindam
Format: Conference Paper
Published: IEEE 2018
Online Access:http://hdl.handle.net/20.500.11937/73417
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author Far, M.
Pashajavid, Ehsan
Ghosh, Arindam
author_facet Far, M.
Pashajavid, Ehsan
Ghosh, Arindam
author_sort Far, M.
building Curtin Institutional Repository
collection Online Access
description © 2017 IEEE. Voltage sag and voltage unbalance can be considered as the major power quality concerns in low voltage distribution networks. A dynamic voltage restorer (DVR) is commonly used to provide voltage support for load buses containing critical loads. In practice, however, the limited power capacity of these devices can highly deteriorate the desirable regulation expected from them, especially under severe disturbances. This paper proposes an efficient fuzzy logic based capacity management scheme for DVRs in mitigating voltage disturbances. The strategy can appropriately organize the DVR operation complying with the features and priorities given by the designer. A novel approach to derive the compensation reference signals is presented in which the mitigation factors associated with the disturbances are adjusted by the fuzzy scheme. Further, a single-step prediction horizon technique is implemented to regulate the switching commands of the DVR. Various simulation cases are studied in MATLAB to demonstrate efficacy of the proposal.
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institution Curtin University Malaysia
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last_indexed 2025-11-14T10:56:38Z
publishDate 2018
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spelling curtin-20.500.11937-734172018-12-13T09:35:32Z Power capacity management of dynamic voltage restorers used for voltage sag and unbalance compensation Far, M. Pashajavid, Ehsan Ghosh, Arindam © 2017 IEEE. Voltage sag and voltage unbalance can be considered as the major power quality concerns in low voltage distribution networks. A dynamic voltage restorer (DVR) is commonly used to provide voltage support for load buses containing critical loads. In practice, however, the limited power capacity of these devices can highly deteriorate the desirable regulation expected from them, especially under severe disturbances. This paper proposes an efficient fuzzy logic based capacity management scheme for DVRs in mitigating voltage disturbances. The strategy can appropriately organize the DVR operation complying with the features and priorities given by the designer. A novel approach to derive the compensation reference signals is presented in which the mitigation factors associated with the disturbances are adjusted by the fuzzy scheme. Further, a single-step prediction horizon technique is implemented to regulate the switching commands of the DVR. Various simulation cases are studied in MATLAB to demonstrate efficacy of the proposal. 2018 Conference Paper http://hdl.handle.net/20.500.11937/73417 10.1109/AUPEC.2017.8282445 IEEE restricted
spellingShingle Far, M.
Pashajavid, Ehsan
Ghosh, Arindam
Power capacity management of dynamic voltage restorers used for voltage sag and unbalance compensation
title Power capacity management of dynamic voltage restorers used for voltage sag and unbalance compensation
title_full Power capacity management of dynamic voltage restorers used for voltage sag and unbalance compensation
title_fullStr Power capacity management of dynamic voltage restorers used for voltage sag and unbalance compensation
title_full_unstemmed Power capacity management of dynamic voltage restorers used for voltage sag and unbalance compensation
title_short Power capacity management of dynamic voltage restorers used for voltage sag and unbalance compensation
title_sort power capacity management of dynamic voltage restorers used for voltage sag and unbalance compensation
url http://hdl.handle.net/20.500.11937/73417