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

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 con...

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Vydané v:IEEE transactions on smart grid Ročník 3; číslo 3; s. 1271 - 1279
Hlavní autori: Khodayar, M. E., Lei Wu, Shahidehpour, M.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: IEEE 01.09.2012
Predmet:
Batteries
Discharges
Load aggregation
plug-in electric vehicles
Power systems
renewable energy sources
Stochastic processes
stochastic security-constrained unit commitment
System-on-a-chip
V2G
Wind forecasting
Wind power generation
ISSN:1949-3053, 1949-3061
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Shrnutí: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.
ISSN:1949-3053
1949-3061
DOI:10.1109/TSG.2012.2186642