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Enhanced Power System Operational Performance with Anticipatory Control under Increased Penetration of Wind Energy


Abstract As the world embraces a sustainable energy future, alternative energy resources, such as wind power, are increasingly being seen as an integral part of the future electric energy grid. Ultimately, integrating such a dynamic and variable mix of generation requires a better understanding of renewable generation output, in addition to power grid systems that improve power system operational performance in the presence of anticipated events such as wind power ramps. Because of the stochastic, uncontrollable nature of renewable resources, a thorough and accurate characterization of wind activity is necessary to maintain grid stability and reliability. Wind power ramps from an existing wind farm are studied to characterize persistence forecasting... (more)
Created Date 2016
Contributor Ganger, David Wu (Author) / Vittal, Vijay (Advisor) / Zhang, Junshan (Advisor) / Hedman, Kory (Committee member) / Undrill, John (Committee member) / Arizona State University (Publisher)
Subject Electrical engineering / Statistics / Anticipatory Control / Extreme Value Theory / Power System Operations / Short Term Forecasting / Stationarity / Wind Energy
Type Doctoral Dissertation
Extent 262 pages
Language English
Note Doctoral Dissertation Electrical Engineering 2016
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS


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Description Dissertation/Thesis