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dc.contributor.authorYekkirala, Sarada
dc.date.accessioned2014-04-17T20:09:29Z
dc.date.available2014-04-17T20:09:29Z
dc.date.issued2005-12-01
dc.identifier.urihttps://hdl.handle.net/11244/10298
dc.description.abstractTechnological advances, coupled with variable speed operation, have made wind electric conversion the fastest growing electric power generation utilizing renewable energy resources. Variability of wind input and the associated variability in the electrical outputs of wind electric conversion systems feeding power to a conventional distribution system will affect the overall reliability and security of power supply. The influence of wind regime on the security of a distribution system quantified using a simple security index is investigated. Different wind regimes are considered by varying the scale and shape parameters defining the Weibull distribution. The security index itself becomes a random variable and it is presented in terms of a distribution function. Based on simulation results, certain conclusions are drawn as to the suitability of different wind regimes for wind electric conversion in terms of their influence on system security. Varying penetration levels are considered in the study using a standard 24 bus reliability test system. This simple approach can be used to select between two suitable wind farm sites based on system security as defined.
dc.formatapplication/pdf
dc.languageen_US
dc.publisherOklahoma State University
dc.rightsCopyright is held by the author who has granted the Oklahoma State University Library the non-exclusive right to share this material in its institutional repository. Contact Digital Library Services at lib-dls@okstate.edu or 405-744-9161 for the permission policy on the use, reproduction or distribution of this material.
dc.titleInfluence of Wind Regime on the Security of Power Systems with Wind Electric Generation
dc.typetext
osu.filenameYekkirala_okstate_0664M_1623.pdf
osu.collegeEngineering, Architecture, and Technology
osu.accesstypeOpen Access
dc.description.departmentSchool of Electrical & Computer Engineering
dc.type.genreThesis


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