NDLI: Hourly Coordination of Electric Vehicle Operation and Volatile Wind Power Generation in SCUC

Content Provider	IEEE Xplore Digital Library
Author	Khodayar, M.E. Lei Wu Shahidehpour, M.
Copyright Year	2010
Abstract	In this paper, the coordinated integration of aggregated plug-in electric vehicle (PEV) fleets and renewable energy sources (wind energy) in power systems is studied by stochastic security-constrained unit commitment (Stochastic SCUC) model, which minimizes the expected grid operation cost while considering the random behavior of the many PEVs. PEVs are mobile and distributed devices with deferrable options for the supply/utilization of energy at various times and locations. The increased utilization of PEVs, which consume electricity rather than fossil fuel for driving, offers unique economic and environmental opportunities, and brings out new challenges to electric power system operation and planning. The storage capability of PEVs could help power systems mitigate the variability of renewable energy sources and reduce grid operation costs. Vehicle-to-grid (V2G) enables PEVs to have bi-directional power flows once they are connected to the grid, i.e., they can either inject power to, and draw power from, the grid which adds further complexity to power system operations. PEVs signify customers' random behavior when considering their driving patterns, locational energy requirements, topological grid interconnections, and other constraints imposed by the consumers. Numerical tests demonstrate the effectiveness of the proposed approach for analyzing the impact of PEVs on the grid operation cost and hourly wind energy dispatch.
Starting Page	1271
Ending Page	1279
Page Count	9
File Size	1241628
File Format	PDF
ISSN	19493053
Volume Number	3
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-09-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Power systems Batteries Discharges System-on-a-chip Wind forecasting Wind power generation Stochastic processes V2G Load aggregation plug-in electric vehicles renewable energy sources stochastic security-constrained unit commitment
Content Type	Text
Resource Type	Article
Subject	Computer Science

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