DocumentCode :
1943382
Title :
An Optimal Distributed Constraint Optimisation Algorithm for Efficient Energy Management
Author :
Penya, Yoseba K. ; Jennings, Nicholas R. ; Neumann, Gustaf
Author_Institution :
Dept. of Inf. Syst., Vienna Univ. of Econ. & Bus. Adm.
Volume :
2
fYear :
2005
fDate :
28-30 Nov. 2005
Firstpage :
17
Lastpage :
182
Abstract :
The deregulation of the electricity industry in Europe has created a number of marketplaces in which producers and consumers can operate in order to more effectively manage and meet their energy needs. To this end, in previous work we introduced a new market design where consumers allocate the supply of the energy they need in a number of simultaneous reverse combinatorial auctions. To do this efficiently, each consumer needs to coordinate and optimise the use of its various appliances to achieve the best possible consumption schedule according to the received bids. In particular, this paper models each client´s constellation of devices as a distributed constraint optimisation problem (DCOP) and we develop a novel optimal algorithm (COBB - constraint optimisation by broadcasting) for solving it. We also evaluate COBB, prove its optimality and show how it outperforms other comparable algorithms
Keywords :
electricity supply industry deregulation; energy management systems; optimisation; COBB; constraint optimisation by broadcasting; consumer needs; consumption schedule; efficient energy management; electricity industry; optimal distributed constraint optimisation algorithm; reverse combinatorial auction; Broadcasting; Constraint optimization; Electricity supply industry; Electricity supply industry deregulation; Energy consumption; Energy management; Europe; Home appliances; Job shop scheduling; Load management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-7695-2504-0
Type :
conf
DOI :
10.1109/CIMCA.2005.1631464
Filename :
1631464
Link To Document :
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