RELIABILITY CONTRIBUTION OF WIND GENERATION IN ELECTRIC POWER SYSTEMS
Date
2005
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ORCID
Type
Degree Level
Masters
Abstract
Wind energy is considered to be an encouraging and promising source for alternative power generation due to the global environmental concerns associated with conventional energy sources. The fact that wind power penetration continues to increase
has generated serious concerns about the contributions and impacts on the overall system reliability. These concerns have motivated a need to develop more widely applicable methodologies for evaluating the actual benefits of adding wind turbines to conventional power generating systems.
Reliability evaluation of generating systems with wind energy sources is a complex process. It requires an accurate wind speed forecasting technique for the wind farm site. The method requires historical wind speed data collected over many years for the wind farm location in order to determine the necessary parameters of the wind models for the particular site. Reliability evaluation methods have not been readily used in actual power systems that incorporate wind power due to the complexities involved with the techniques. This thesis presents the development of an analytical method that is simple to apply and requires little wind data for the wind farm site. The development of a common wind speed model applicable to multiple wind farm locations is presented and illustrated with an example. The method is further simplified by determining the minimum multi-state representation for a wind farm generation model for reliability evaluation with reasonable accuracy. The developed method is utilized to conduct a series of adequacy analyses in order to investigate the reliability benefit of adding a Wind Energy Conversion System (WECS) to a power system and to evaluate the capacity credit of WECS. A quantitative index is introduced and used to measure WECS capacity credits, and to examine the effect of key system parameters. The information provided in this thesis should prove useful to power system planners and wind developers to determine the capacity credit of wind sources at different wind penetration levels.
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Degree
Master of Science (M.Sc.)
Department
Electrical Engineering