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Value at risk estimation of a power system including wind generation

Reckoning the risk of load loss, corresponding to a certain event, into a single MW value can be of premium importance to system operators to quickly initiate a remedial action, if necessary. In this paper, risk to system load loss, due to the inclusion of variable wind generation, is estimated usin...

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Main Authors: Usman, M. Dzulhafizi, Shaaban, Mohamed
Format: Conference or Workshop Item
Published: 2015
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/59546/
http://dx.doi.org/10.1109/SCOReD.2013.7002649
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spelling my.utm.595462021-09-09T03:58:45Z http://eprints.utm.my/id/eprint/59546/ Value at risk estimation of a power system including wind generation Usman, M. Dzulhafizi Shaaban, Mohamed TK Electrical engineering. Electronics Nuclear engineering Reckoning the risk of load loss, corresponding to a certain event, into a single MW value can be of premium importance to system operators to quickly initiate a remedial action, if necessary. In this paper, risk to system load loss, due to the inclusion of variable wind generation, is estimated using the value at risk (VaR) concept. Monte Carlo simulation (MCS) is used to construct the wind speed model, through Weibull statistical distribution and a multistate model, as well as the annual load profile, through randomization. A six-bus test system is used to apply the developed notions. Results of incorporating wind turbine generation with the test system, among other conventional generators, have shown that the risk levels increases appreciably. The ease at which the system risk is identified and encapsulated into a quantifiable MW estimate, remains the salient attractive feature of the developed tool. 2015-01-06 Conference or Workshop Item PeerReviewed Usman, M. Dzulhafizi and Shaaban, Mohamed (2015) Value at risk estimation of a power system including wind generation. In: 2013 11th IEEE Student Conference on Research and Development, SCOReD 2013, 16 December 2013 - 17 December 2013, Putrajaya, Malaysia. http://dx.doi.org/10.1109/SCOReD.2013.7002649
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
Usman, M. Dzulhafizi
Shaaban, Mohamed
Value at risk estimation of a power system including wind generation
description Reckoning the risk of load loss, corresponding to a certain event, into a single MW value can be of premium importance to system operators to quickly initiate a remedial action, if necessary. In this paper, risk to system load loss, due to the inclusion of variable wind generation, is estimated using the value at risk (VaR) concept. Monte Carlo simulation (MCS) is used to construct the wind speed model, through Weibull statistical distribution and a multistate model, as well as the annual load profile, through randomization. A six-bus test system is used to apply the developed notions. Results of incorporating wind turbine generation with the test system, among other conventional generators, have shown that the risk levels increases appreciably. The ease at which the system risk is identified and encapsulated into a quantifiable MW estimate, remains the salient attractive feature of the developed tool.
format Conference or Workshop Item
author Usman, M. Dzulhafizi
Shaaban, Mohamed
author_facet Usman, M. Dzulhafizi
Shaaban, Mohamed
author_sort Usman, M. Dzulhafizi
title Value at risk estimation of a power system including wind generation
title_short Value at risk estimation of a power system including wind generation
title_full Value at risk estimation of a power system including wind generation
title_fullStr Value at risk estimation of a power system including wind generation
title_full_unstemmed Value at risk estimation of a power system including wind generation
title_sort value at risk estimation of a power system including wind generation
publishDate 2015
url http://eprints.utm.my/id/eprint/59546/
http://dx.doi.org/10.1109/SCOReD.2013.7002649
_version_ 1712285057784217600
score 13.211869

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