Date of Award
2012
Document Type
Master's Thesis
Degree Name
Master of Science in Computer Engineering (MS)
College, School or Department Name
Department of Electrical and Computer Engineering
Advisor
Chee-Wooi Ten
Co-Advisor
Chunxiao Chigan
Abstract
Rising fuel prices and environmental concerns are threatening the stability of current electrical grid systems. These factors are pushing the automobile industry towards more effcient, 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.
Recommended Citation
Fettinger, Nathan Steven, "Minimizing residential distribution system operating costs through intelligently scheduled plug-in hybrid electric vehicle charging", Master's Thesis, Michigan Technological University, 2012.