An Optimal Distributed Constraint Optimisation Algorithm for Efficient Energy Management

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

[1]  Makoto Yokoo,et al.  The Distributed Constraint Satisfaction Problem: Formalization and Algorithms , 1998, IEEE Trans. Knowl. Data Eng..

[2]  Norman M. Sadeh,et al.  Distributed constrained heuristic search , 1991, IEEE Trans. Syst. Man Cybern..

[3]  Victor R. Lesser,et al.  Solving distributed constraint optimization problems using cooperative mediation , 2004, Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, 2004. AAMAS 2004..

[4]  Nicholas R. Jennings,et al.  Optimal clearing algorithms for multi-unit single-item and multi-unit combinatorial auctions with demand/supply function bidding , 2003, ICEC '03.

[5]  Nicholas R. Jennings,et al.  Combinatorial markets for efficient energy management , 2005, IEEE/WIC/ACM International Conference on Intelligent Agent Technology.

[6]  Nicholas R. Jennings,et al.  Polynomial algorithms for clearing multi-unit single-item and multi-unit combinatorial reverse auctions , 2002, ECAI.

[7]  Fredrik Ygge,et al.  Market-Oriented Programming and its Application to Power Load Management , 1998 .

[8]  Subhash Suri,et al.  Market Clearability , 2001, IJCAI.

[9]  P. Palensky,et al.  REQUIREMENTS AND PROSPECTS FOR CONSUMERS OF ELECTRICAL ENERGY REGARDING DEMAND SIDE MANAGEMENT , 2004 .

[10]  J. M. Akkermans,et al.  The HomeBots System and Field Test - A Multi-Commodity Market for Predictive Power Load Management, , 1999 .

[11]  Makoto Yokoo,et al.  Algorithms for Distributed Constraint Satisfaction: A Review , 2000, Autonomous Agents and Multi-Agent Systems.

[12]  Paolo Toth,et al.  Knapsack Problems: Algorithms and Computer Implementations , 1990 .

[13]  Tuomas Sandholm,et al.  Algorithm for optimal winner determination in combinatorial auctions , 2002, Artif. Intell..

[14]  Makoto Yokoo,et al.  An asynchronous complete method for distributed constraint optimization , 2003, AAMAS '03.

[15]  Victor R. Lesser,et al.  Multistage negotiation for distributed constraint satisfaction , 1991, IEEE Trans. Syst. Man Cybern..

[16]  Wei-Min Shen,et al.  Distributed constraint optimization for multiagent systems , 2003 .