Network constrained wind integration : An optimal cost approach

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dc.contributor.author Maddaloni, Jesse D.
dc.contributor.author Rowe, Andrew M.
dc.contributor.author van Kooten, G. Cornelis
dc.date.accessioned 2013-05-21T23:58:10Z
dc.date.available 2013-05-21T23:58:10Z
dc.date.copyright 2006 en_US
dc.date.issued 2006
dc.identifier.citation REPA Working papers 2006-05 en_US
dc.identifier.uri http://hdl.handle.net/1828/4629
dc.description The authors would like to thank Matt Schuett, Justin Blanchfield, Pablo Benítez, Ned Djilali, Lawrence Pitt, Alan Tucker and Peter Wild for their contributions to this work. en_US
dc.description.abstract Planning electricity supply is important because power demand continues to increase while there is a concomitant desire to increase reliance on renewable sources. Extant research pays particular attention to highly variable, low-carbon energy sources such as wind and small-scale hydroelectric power. Models generally employ only a simple load levelling technique, ensuring that generation meets demand in every period. The current research considers the power transmission system as well as load levelling. A network model is developed to simulate the integration of highly variable non-dispatchable power into an electrical grid that relies on traditional generation sources, while remaining within the network’s operating constraints. The model minimizes a quadratic cost function over two periods of 336 hours, with periods representing low (summer) and high (winter) demand, subject to various linear constraints. The model is numerically solved using Matlab and GAMS software environments. Results indicate that, even for a grid heavily dependent on hydroelectricity, the addition of wind power can create difficulties, with system costs increasing with wind penetration, sometimes significantly. en_US
dc.description.sponsorship Funding support from the B.C. Ministry of Mines and Petroleum Resources and SSHRC Grant #410-2006-0266 is gratefully acknowledged. en_US
dc.language.iso en en_US
dc.publisher Resource Economics and Policy Analysis (REPA) Research Group Department of Economics University of Victoria en_US
dc.subject Electric networks en_US
dc.subject optimal power flow en_US
dc.subject wind power en_US
dc.subject intermittent sources en_US
dc.title Network constrained wind integration : An optimal cost approach en_US
dc.type Working Paper en_US
dc.description.scholarlevel Faculty en_US
dc.description.reviewstatus Unreviewed en_US

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