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
Link To Document :
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