Electric Power Research, University of Oklahoma

Research in Electrical Power Engineering
The focus of the Electric Power Research group is on research, education, and economic development directed toward the emerging competitive market for electrical energy. The group has focused on research, development and commercialization of algorithms that are used in scheduling: generation, fuels and transactions; subject to many constraints including transmission, fuel contracts and emissions. These algorithms have been used in both operations and in planning. The present and near-term objective of this group is the development of a curriculum designed to produce M.S. students who have a combination of electrical power engineering and finance education. The $305 billion electrical energy industry is experiencing many rapidly changing challenges. These changes result in significant opportunities for graduates who are prepared to adopt a new market perspective when planning new facilities, when evaluating opportunities to trade power, and when considering alternative ways to operate generating and transmission facilities. We have developed this new curriculum that prepares electrical engineers to work in this competitive and risky environment. The research in electrical power engineering has been focused on operational planning. We have developed a methodology and algorithms to simulate operational costs. This research and development has been sponsored by OG&E (Oklahoma Gas and Electric) and has resulted in numerous publications, and a production cost simulator that is now in use by OG&E. It has also resulted in the development of software designed to aid operational planning in an electrical utility. More...

Faculty Publications
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Research in Electrical Power Engineering The focus of the Electric Power Research group is on research, education, and economic development directed toward the emerging competitive market for electrical energy. The group has focused on research, development and commercialization of algorithms that are used in scheduling: generation, fuels and transactions; subject to many constraints including transmission, fuel contracts and emissions. These algorithms have been used in both operations and in planning. The present and near-term objective of this group is the development of a curriculum designed to produce M.S. students who have a combination of electrical power engineering and finance education. The $305 billion electrical energy industry is experiencing many rapidly changing challenges. These changes result in significant opportunities for graduates who are prepared to adopt a new market perspective when planning new facilities, when evaluating opportunities to trade power, and when considering alternative ways to operate generating and transmission facilities. We have developed this new curriculum that prepares electrical engineers to work in this competitive and risky environment. The research in electrical power engineering has been focused on operational planning. We have developed a methodology and algorithms to simulate operational costs. This research and development has been sponsored by OG&E (Oklahoma Gas and Electric) and has resulted in numerous publications, and a production cost simulator that is now in use by OG&E. It has also resulted in the development of software designed to aid operational planning in an electrical utility. *More...* Faculty Publications More... Faculty Biographies More...
	Faculty Research The Oklahoma Gas and Electric Company Professorship of Electrical Engineering attracted Professor Arthur M. Breipohl to the University of Oklahoma in 1984, where he helped build one of the top ten power programs in the United States. Prior to his retirement in December 2002, Professor Emeritus Arthur Breipohl's research focused on the application of stochastic models to electrical power engineering. Professor Breipohl, a Life Fellow of the IEEE, instituted a joint (with Oklahoma State University) teaching program using the television link between the two State Universities. He has chaired the Applied Probabilistic Methods Task Force on Data Pooling and the Power System Engineering Task Force on Transmission Access and Non-Utility Generation of the IEEE Power Engineering Society. Professor Breipohl's publications include 3 books and approximately 90 journal and refereed papers. Professor Fred N. Lee was the OG&E Professor of Electrical Engineering until his retirement January 2008. Professor Lee joined the faculty at the University of Oklahoma in 1985. Professor Lee's research focus was power system production scheduling and simulation.	Professor Lee is best known for his development of a new method of unit commitment. This method has been implemented in the development of optimization programs for industry. He also collaborated with Professor Breipohl on an adaptive long-term production costing algorithm. These are considered important break-throughs in the field. Professor Lee is a Fellow of the IEEE and has numerous journal and refereed publications. Professor John N. Jiang joined the ECE faculty as an Assistant Professor in January 2007. His interests are mainly in the interdisciplinary area of power system engineering, asset management under uncertainty, power market analysis and investment theory. He received his M.S. and Ph.D. degrees from the University of Texas at Austin. For Additional Information Jan J. Nelson Administrative Assistant Email: jnelson@ou.edu Phone: 405-325-3087 Fax: 405-325-7116

Electric Energy Markets and a Changing Curriculum Changes in the regulation of electric energy companies have unleashed competitive forces that are rapidly transforming this $305 billion industry. Now, managers of electric energy companies must adopt a market perspective when planning new facilities, when evaluating opportunities to trade power, and when considering alternative ways to operate their generating facilities. The significance of this new electric energy market to society makes imperative the development of a new curriculum that prepares electrical engineers to work in this competitive environment. MS Degree - Electrical Engineering/Finance

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