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Minimizing residential distribution system operating costs through intelligently scheduled Plug-in Hybrid Electric Vehicle charging

Posted on:2013-08-16Degree:M.SType:Thesis
University:Michigan Technological UniversityCandidate:Fettinger, Nathan StevenFull Text:PDF
GTID:2452390008987419Subject:Engineering
Abstract/Summary:
Rising fuel prices and environmental concerns are threatening the stability of current electrical grid systems. These factors are pushing the automobile industry towards more efficient, hybrid vehicles. Current trends show petroleum is being edged out in favor of electricity as the main vehicular motive force. The proposed methods create an optimized charging control schedule for all participating Plug-in Hybrid Electric Vehicles in a distribution grid. The optimization will minimize daily operating costs, reduce system losses, and improve power quality. This requires participation from Vehicle-to-Grid capable vehicles, load forecasting, and Locational Marginal Pricing market predictions. Vehicles equipped with bidirectional chargers further improve the optimization results by lowering peak demand and improving power quality.
Keywords/Search Tags:Hybrid, Vehicles
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