Groupe d’études et de recherche en analyse des décisions

Advanced modeling and optimization techniques for power system operations under uncertain environment

Lei Wu Clarkson University, États-Unis

The power grid, as a whole networked system, has been recognized as an essential element of the nation’s energy infrastructure. Smart grid technology is playing an increasingly important role for enhancing the security, sustainability, and economics of bulk power system operations. Specifically, as the electric power industry is a major contributor to carbon dioxide, renewable energy such as wind and solar has become more competitive for its environmentally friendly nature. However, highly variable and uncertain renewable energy, regarded as a non-dispatchable resource, demands for supporting technologies to firm it up and achieve a deeper penetration. Under this environment, demand response (DR) programs, which provide consumers opportunities and incentives to change their regular consumption patterns in response to electricity price/control signals, provide system operators the flexibility to manage uncertainty and maintain security. However, DR also brings new challenges to power system operations since it introduces pricerelated demand variations and makes the system load profile stochastic and price-sensitive. Indeed, as the generation side gets more distributed and the demand side becomes more active, it is of critical importance to evaluate aggregated effects of individual assets on the bulk power system. This presentation will highlight several key issues in the operation of bulk power systems with smart grid technologies, renewable energy and DR in particular, and discuss the application of advanced modeling and optimization techniques for enhancing the security and economics of power system operations.

Biographie : Dr. Lei Wu is an Associate Professor in the Department of Electrical and Computer Engineering at Clarkson University, Potsdam, NY. He received the Ph.D. degree in electrical engineering from the Illinois Institute of Technology, Chicago, in 2008. His primary research and teaching areas are focused on power and energy system optimization and control, with specific interests in the modeling of large-scale power systems with a high penetration of demand response and renewable energy. His educational and research activities are being supported by NSF, DOE, NYSERDA, other federal/state/local agencies, and the private industry. He has extensive experiences working with the industry including GE Energy, NYISO, MISO, and National Grid. He is the co-author of over 50 journal papers and the recipient of two Transactions Prize Paper Awards from the IEEE Power and Energy Society. He is the receipt of NSF CAREER Award in 2013 and IBM Smarter Planet Faculty Innovation Award in 2011. He serves as Editor or member of editorial boards of 4 internationally recognized journals.

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