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dc.contributor.authorIssaeva, Natalia
dc.date.accessioned2010-10-04T09:19:06Z
dc.date.available2010-10-04T09:19:06Z
dc.date.issued2009
dc.identifier.urihttp://hdl.handle.net/1842/3804
dc.description.abstractIncorporation of wind energy into the electricity generation system requires a detailed analysis of wind speed in order to minimize system balancing cost and avoid a significant mismatch between supply and demand. Power generation and consumption in the electricity networks have to be balanced every minute, therefore it is necessary to study wind speed on a one-minute time scale. In this thesis, we examine the statistical characteristics of one-minute average values of wind speed. One-minute wind speed is available from a single site in Great Britain while there are records of ten-minute wind speed available. We apply a modified Gibbs sampling algorithm to generate one-minute wind speed required for optimization modelling from the available ten-minute wind speed. System balancing costs are estimated through optimization modelling of the short-term electricity generation with wind energy contributing to the total supply. Two main drivers of additional system cost caused by wind energy are variability and unpredictability of one-minute wind speed. Further, a linear mathematical optimization model for a problem of short-term electricity generation is presented to calculate an additional balancing cost that appears as a result of wind energy variability. It is then shown that this additional balancing cost can be estimated using the statistical characteristics of wind energy present in the system. The unpredictable characteristic of wind speed is analysed with the techniques of stochastic programming. Uncertainty of the expected wind speed is represented through scenario trees and stochastic linear optimization models are used to calculate the extra cost due to uncertainty. Alternative optimization models are compared by calculating the additional balancing cost and the extent of imbalance between power generation and consumption in the system.en
dc.language.isoenen
dc.publisherThe University of Edinburghen
dc.subjectwind energyen
dc.subjectelectricity networksen
dc.subjectmodellingen
dc.subjectwind energy
dc.subjectelectricity networks
dc.subjectmodelling
dc.subjectGlobal Change Research Institute
dc.titleQuantifying the system balancing cost when wind energy is incorporated into electricity generation systemen
dc.typeThesis or Dissertationen
dc.type.qualificationlevelDoctoralen
dc.type.qualificationnamePhD Doctor of Philosophyen


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