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Quantitative risk associated with intermittent wind generation

Wind energy is a propitious alternative to fossil-fuel generation due to its benign environmental footprint and sustainability. However, the intermittent nature of wind turbine output may scale up the risk of not meeting current or future load demand. A quantitative risk measure associated with intr...

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Main Authors: Shaaban, M., Usman, M. D.
Format: Article
Published: Turkiye Klinikleri Journal of Medical Sciences 2016
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/71187/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84974715613&doi=10.3906%2felk-1405-102&partnerID=40&md5=f58af4874783bc841760eae8cc2ebcea
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spelling my.utm.711872017-11-15T04:12:07Z http://eprints.utm.my/id/eprint/71187/ Quantitative risk associated with intermittent wind generation Shaaban, M. Usman, M. D. TK Electrical engineering. Electronics Nuclear engineering Wind energy is a propitious alternative to fossil-fuel generation due to its benign environmental footprint and sustainability. However, the intermittent nature of wind turbine output may scale up the risk of not meeting current or future load demand. A quantitative risk measure associated with introducing wind turbines into the generation eet is investigated in this paper. Due to the randomness of the wind speed profile, a common wind speed model employing a multistate wind generation pattern, representing various production levels, was adopted, as opposed to conventional generator models, which are suitably represented with a two-state model. Using a hybrid method that combines the analytical technique with Monte Carlo simulation, risk measures such as loss of load probability were evaluated and applied to the RBTS and IEEE-RTS test systems. The expected demand not supplied, due to contemplated uncertainties, was further quantified. Test results show that the capacity credit of wind turbine generators could vary widely depending on system size and configuration. Furthermore, the use of an 11-state wind representation model along with the normal distribution of wind speed produces very close results compared with the Weibull distribution of wind speed. Turkiye Klinikleri Journal of Medical Sciences 2016 Article PeerReviewed Shaaban, M. and Usman, M. D. (2016) Quantitative risk associated with intermittent wind generation. Turkish Journal of Electrical Engineering and Computer Sciences, 24 (4). pp. 3144-3157. ISSN 1300-0632 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84974715613&doi=10.3906%2felk-1405-102&partnerID=40&md5=f58af4874783bc841760eae8cc2ebcea
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Shaaban, M.
Usman, M. D.
Quantitative risk associated with intermittent wind generation
description Wind energy is a propitious alternative to fossil-fuel generation due to its benign environmental footprint and sustainability. However, the intermittent nature of wind turbine output may scale up the risk of not meeting current or future load demand. A quantitative risk measure associated with introducing wind turbines into the generation eet is investigated in this paper. Due to the randomness of the wind speed profile, a common wind speed model employing a multistate wind generation pattern, representing various production levels, was adopted, as opposed to conventional generator models, which are suitably represented with a two-state model. Using a hybrid method that combines the analytical technique with Monte Carlo simulation, risk measures such as loss of load probability were evaluated and applied to the RBTS and IEEE-RTS test systems. The expected demand not supplied, due to contemplated uncertainties, was further quantified. Test results show that the capacity credit of wind turbine generators could vary widely depending on system size and configuration. Furthermore, the use of an 11-state wind representation model along with the normal distribution of wind speed produces very close results compared with the Weibull distribution of wind speed.
format Article
author Shaaban, M.
Usman, M. D.
author_facet Shaaban, M.
Usman, M. D.
author_sort Shaaban, M.
title Quantitative risk associated with intermittent wind generation
title_short Quantitative risk associated with intermittent wind generation
title_full Quantitative risk associated with intermittent wind generation
title_fullStr Quantitative risk associated with intermittent wind generation
title_full_unstemmed Quantitative risk associated with intermittent wind generation
title_sort quantitative risk associated with intermittent wind generation
publisher Turkiye Klinikleri Journal of Medical Sciences
publishDate 2016
url http://eprints.utm.my/id/eprint/71187/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84974715613&doi=10.3906%2felk-1405-102&partnerID=40&md5=f58af4874783bc841760eae8cc2ebcea
_version_ 1643656129198161920
score 13.244404

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