Coupled operation of a wind farm and pumped storage facility: techno-economic modelling and stochastic optimization.

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dc.contributor.author Wild, Kristin
dc.date.accessioned 2011-12-22T17:40:46Z
dc.date.available 2011-12-22T17:40:46Z
dc.date.copyright 2011 en_US
dc.date.issued 2011-12-22
dc.identifier.uri http://hdl.handle.net/1828/3761
dc.description.abstract This thesis applies a stochastic programming approach to the techno-economic analysis of a wind farm coupled with a pumped storage facility. The production of an optimal day-ahead generating schedule is considered. Wind forecasts contain an element of random error, and several methods of addressing this uncertainty in the optimization process are compared. The methods include robust and reliability-based design optimization in addition to a combination of both approaches, and results indicate that reliability-based design optimization is best-suited to this particular problem. Based on a set of wind forecast error scenarios and historical data, a probability-weighted forecast wind generation scenario set is developed. Reliability constraints are imposed to meet a minimum of 80% of the generating schedule time intervals. This methodology is applied to a case study on Vancouver Island. Preliminary results show that when compared to the base case of a standalone wind farm on Vancouver Island, a wind farm coupled with pumped storage can prove to be economically competitive with pumped storage capital costs below $1.53 million/MW installed pumped storage capacity and a firm energy price of $130/MWh. en_US
dc.language English eng
dc.language.iso en en_US
dc.subject wind energy en_US
dc.subject stochastic programming en_US
dc.subject renewable energy en_US
dc.subject pumped storage en_US
dc.title Coupled operation of a wind farm and pumped storage facility: techno-economic modelling and stochastic optimization. en_US
dc.type Thesis en_US
dc.contributor.supervisor Crawford, Curran
dc.contributor.supervisor Djilali, Nedjib
dc.degree.department Dept. of Mechanical Engineering en_US
dc.degree.level Master of Applied Science M.A.Sc. en_US
dc.rights.temp Available to the World Wide Web en_US
dc.description.scholarlevel Graduate en_US

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