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Load-scheduling and Plug-in Hybrid Electric Vehicles in the Smart Grid
Norwegian University of Science and Technology, Faculty of Information Technology, Mathematics and Electrical Engineering, Department of Computer and Information Science.
2012 (English)MasteroppgaveStudent thesis
Abstract [en]

To avoid the problem that increasing PHEV demand will further aggravate peak demand hours in the power grid, several different multi-agent scheduling mechanisms have been investigated, including two centralized scheduling mechanisms and two decentralized scheduling mechanisms. For both of the decentralized mechanisms, the PHEV agents choose their own charging plans without relying upon a centralized scheduler, while in the centralized scheduling mechanisms, the PHEVs agents defer control to a central agent for creating their charging plans. From the results, we found that while both the centralized mechanisms and the decentralized mechanisms helped to reduce the average maximum peak, the performance of the centralized mechanisms proved to be highly dependent on how the day-ahead portfolio was calculated. Because of this, the overall best performer was decentralized mechanism, which gave the best results for reducing the average maximum peak without compromising the ability of the PHEVs to charge their batteries too much.

Place, publisher, year, edition, pages
Institutt for datateknikk og informasjonsvitenskap , 2012. , 121 p.
Keyword [no]
ntnudaim:7013, MTDT datateknikk, Intelligente systemer
URN: urn:nbn:no:ntnu:diva-18624Local ID: ntnudaim:7013OAI: diva2:566136
Available from: 2012-11-08 Created: 2012-11-08

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