Minimizing residential distribution system operating costs through intelligently scheduled plug-in hybrid electric vehicle charging


Autoria(s): Fettinger, Nathan Steven
Data(s)

01/01/2012

Resumo

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.

Formato

application/pdf

Identificador

http://digitalcommons.mtu.edu/etds/45

http://digitalcommons.mtu.edu/cgi/viewcontent.cgi?article=1044&context=etds

Publicador

Digital Commons @ Michigan Tech

Fonte

Dissertations, Master's Theses and Master's Reports - Open

Palavras-Chave #Electrical and Computer Engineering #Engineering
Tipo

text