A new control strategy for smoothing of wind farm output using short-term ahead wind speed prediction and Flywheel energy storage system

With the increased integration of wind energy into power networks it has become more important to have a reliable system for mitigating the fluctuations of output power supplied to the grid. This paper proposes a new control scheme to smooth the output power fluctuations of an aggregated wind firm u...

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Main Authors: Islam, F., Hasanien, H., Al-Durra, A., Muyeen, S.M.
Format: Conference Paper
Published: 2012
Online Access:http://hdl.handle.net/20.500.11937/35640
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author Islam, F.
Hasanien, H.
Al-Durra, A.
Muyeen, S.M.
author_facet Islam, F.
Hasanien, H.
Al-Durra, A.
Muyeen, S.M.
author_sort Islam, F.
building Curtin Institutional Repository
collection Online Access
description With the increased integration of wind energy into power networks it has become more important to have a reliable system for mitigating the fluctuations of output power supplied to the grid. This paper proposes a new control scheme to smooth the output power fluctuations of an aggregated wind firm using Flywheel energy storage system (FESS) and short-term ahead prediction of wind speed. In the proposed system, the kinetic energy of the FEES is utilized to smooth the output power fluctuations of wind farm. In addition, the stored energy of FESS is utilized in most efficient way by correcting the power reference using prediction base control. This helps to reduce the overall system cost by keeping the size of the energy storage system at minimum. The effectiveness of the proposed control is verified by using PSCAD/EMTDC.
first_indexed 2025-11-14T08:42:11Z
format Conference Paper
id curtin-20.500.11937-35640
institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T08:42:11Z
publishDate 2012
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-356402019-07-30T03:40:37Z A new control strategy for smoothing of wind farm output using short-term ahead wind speed prediction and Flywheel energy storage system Islam, F. Hasanien, H. Al-Durra, A. Muyeen, S.M. With the increased integration of wind energy into power networks it has become more important to have a reliable system for mitigating the fluctuations of output power supplied to the grid. This paper proposes a new control scheme to smooth the output power fluctuations of an aggregated wind firm using Flywheel energy storage system (FESS) and short-term ahead prediction of wind speed. In the proposed system, the kinetic energy of the FEES is utilized to smooth the output power fluctuations of wind farm. In addition, the stored energy of FESS is utilized in most efficient way by correcting the power reference using prediction base control. This helps to reduce the overall system cost by keeping the size of the energy storage system at minimum. The effectiveness of the proposed control is verified by using PSCAD/EMTDC. 2012 Conference Paper http://hdl.handle.net/20.500.11937/35640 fulltext
spellingShingle Islam, F.
Hasanien, H.
Al-Durra, A.
Muyeen, S.M.
A new control strategy for smoothing of wind farm output using short-term ahead wind speed prediction and Flywheel energy storage system
title A new control strategy for smoothing of wind farm output using short-term ahead wind speed prediction and Flywheel energy storage system
title_full A new control strategy for smoothing of wind farm output using short-term ahead wind speed prediction and Flywheel energy storage system
title_fullStr A new control strategy for smoothing of wind farm output using short-term ahead wind speed prediction and Flywheel energy storage system
title_full_unstemmed A new control strategy for smoothing of wind farm output using short-term ahead wind speed prediction and Flywheel energy storage system
title_short A new control strategy for smoothing of wind farm output using short-term ahead wind speed prediction and Flywheel energy storage system
title_sort new control strategy for smoothing of wind farm output using short-term ahead wind speed prediction and flywheel energy storage system
url http://hdl.handle.net/20.500.11937/35640