Optimal Siting of Distributed Wind Farms in Ontario, Canada

Increasing wind penetration adds to the importance of enhancing the reliability of wind, to mitigate the magnitude and frequency of changes in electricity generation. This work addresses how improvements can be made to reliability through the geographic dispersal of wind farms in Ontario, Canada, us...

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Main Author: Binnington, Taylor
Other Authors: Harvey, L. D. Danny
Language:en_ca
Published: 2013
Subjects:
Online Access:http://hdl.handle.net/1807/35110
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spelling ndltd-LACETR-oai-collectionscanada.gc.ca-OTU.1807-351102013-11-02T03:43:50ZOptimal Siting of Distributed Wind Farms in Ontario, CanadaBinnington, Taylorwind energyspatial dispersion0368Increasing wind penetration adds to the importance of enhancing the reliability of wind, to mitigate the magnitude and frequency of changes in electricity generation. This work addresses how improvements can be made to reliability through the geographic dispersal of wind farms in Ontario, Canada, using modeled North American Regional Reanalysis data. Optimal configurations of wind farm locations are determined according to two criteria. The first selects combinations of wind farms that follow temporal demand patterns, by maximizing the difference between the energy price and the cost of electricity. The second attempts to select combinations of wind farms that minimize the coefficient of variation in the aggregate output. It is found that there are no wind regimes in Ontario that match demand sufficiently for a viable development strategy, but that combinations of as few as three locations can reduce the coefficient of variation by over 30%, compared to a single region.Harvey, L. D. Danny2013-032013-03-18T15:30:07ZNO_RESTRICTION2013-03-18T15:30:07Z2013-03-18Thesishttp://hdl.handle.net/1807/35110en_ca
collection NDLTD
language en_ca
sources NDLTD
topic wind energy
spatial dispersion
0368
spellingShingle wind energy
spatial dispersion
0368
Binnington, Taylor
Optimal Siting of Distributed Wind Farms in Ontario, Canada
description Increasing wind penetration adds to the importance of enhancing the reliability of wind, to mitigate the magnitude and frequency of changes in electricity generation. This work addresses how improvements can be made to reliability through the geographic dispersal of wind farms in Ontario, Canada, using modeled North American Regional Reanalysis data. Optimal configurations of wind farm locations are determined according to two criteria. The first selects combinations of wind farms that follow temporal demand patterns, by maximizing the difference between the energy price and the cost of electricity. The second attempts to select combinations of wind farms that minimize the coefficient of variation in the aggregate output. It is found that there are no wind regimes in Ontario that match demand sufficiently for a viable development strategy, but that combinations of as few as three locations can reduce the coefficient of variation by over 30%, compared to a single region.
author2 Harvey, L. D. Danny
author_facet Harvey, L. D. Danny
Binnington, Taylor
author Binnington, Taylor
author_sort Binnington, Taylor
title Optimal Siting of Distributed Wind Farms in Ontario, Canada
title_short Optimal Siting of Distributed Wind Farms in Ontario, Canada
title_full Optimal Siting of Distributed Wind Farms in Ontario, Canada
title_fullStr Optimal Siting of Distributed Wind Farms in Ontario, Canada
title_full_unstemmed Optimal Siting of Distributed Wind Farms in Ontario, Canada
title_sort optimal siting of distributed wind farms in ontario, canada
publishDate 2013
url http://hdl.handle.net/1807/35110
work_keys_str_mv AT binningtontaylor optimalsitingofdistributedwindfarmsinontariocanada
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