DocumentCode
623929
Title
Real time market models and prosumer profiling
Author
Montanari, Ugo ; Siwe, Alain Tcheukam
Author_Institution
Dept. of Comput. Sci., Univ. of Pisa, Pisa, Italy
fYear
2013
fDate
14-19 April 2013
Firstpage
3183
Lastpage
3188
Abstract
Decentralized power management systems will play a key role in reducing greenhouse gas emissions and increasing electricity production through alternative energy sources. In this paper, we focus on power market models in which prosumers interact in a distributed environment during the purchase or sale of electric power. We have chosen to follow the distributed power market model DEZENT. Our contribution is the planning phase of the consumption of prosumers based on the negotiation mechanism of DEZENT. We propose a controller for the planning of the consumption which aims at minimizing the electricity cost achieved at the end of a day. In the paper we discuss the assumptions on which the controller design is based.
Keywords
marketing; multi-agent systems; power engineering computing; power markets; software agents; DEZENT; consumption planning; decentralized power management systems; distributed environment; distributed power market model; electric power purchase; electric power sale; electricity cost minimization; negotiation mechanism; prosumer profiling; real time market model; Conferences; Electricity; Heuristic algorithms; Learning (artificial intelligence); Planning; Power generation; Power markets;
fLanguage
English
Publisher
ieee
Conference_Titel
INFOCOM, 2013 Proceedings IEEE
Conference_Location
Turin
ISSN
0743-166X
Print_ISBN
978-1-4673-5944-3
Type
conf
DOI
10.1109/INFCOM.2013.6567135
Filename
6567135
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