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Spatial Distribution of Wind Power Plants To Reduce Variability of Renewable Energy Generation Open Access


Other title
Wind Power Generation
Steady Average Wind Power
Renewable Energy
Simulated Annealing
Spatial Distribution
Reduce Variability
Type of item
Degree grantor
University of Alberta
Author or creator
Debnath, Dhrupad
Supervisor and department
Musilek, Petr
Examining committee member and department
Szymanski, Jozef, (Mining & Petroleum Engineering)
Reformat, Marek (Electrical and Computer Engineering)
Musilek, Petr (Electrical and Computer Engineering)
Department of Electrical and Computer Engineering
Energy Systems
Date accepted
Graduation date
Master of Science
Degree level
As the penetration of wind power into generation mix increases, the issue of its integration into the power grid becomes more and more important. The variability of wind power generation is a major concern as wind is highly intermittent. This may result in significant overproduction at times, followed by complete unavailability of wind power at other periods. This intermittency must be compensated for by other, conventional generation sources such as coal and gas fired power plants. This reduces the overall efficiency of the system, due to the need to run some generators as spinning reserves, and lowers the overall contribution of renewable generation to the mitigation of greenhouse gas emissions. This thesis examines the possibility to optimize the spatial distribution of wind power plants over an extended area to decrease the overall variability of wind power generation in a system. A power exchange simulation model was developed to analyze the impacts of different realistic parameters of renewable resources on micro grids exchanging power among themselves and the national grid. The thesis then considers the integration of spatially distributed wind power generation in the wind-rich province of Alberta, Canada. The thesis is then extended to integrate the wind resources of Alberta and British Columbia together. The distribution of power plants is optimized using simulated annealing and quadratic programming. The results clearly show that the variability of wind power generation can be reduced if the wind resources are integrated over a wide geographic area. In this way, a steady average of wind power generation is possible that can reduce the base load requirements and spinning reserves which are necessary for integrating intermittent renewable wind power generation into the grid.
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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