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he HomeBots System and Field Tests: A Multi-Commodity Market for Predictive Load Management
Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Faculty of Science and Technology, Biology, Department of Ecology and Evolution, Computing Science.
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1999 (English)In: Fourth International Conference and Exhibiti on on The Practical Application of Intelligent Agents and Multi-Agents (PAAM99), 1999Conference paper (Refereed)
Abstract [en]

We present a system called HOMEBOTS for agent-based energy management services, realized by networked `smart' industrial and household equipment communicating over the power line and other media. As a consequence of the deregulation of the electricity markets in many countries, energy utilities have started to pay high interest in offering value-added energy customer services rather than merely selling electricity (kWh). We discuss a number of important technical an d business issues in launching such services, and describe some advanced solutions.

First, we present a new computational market theory, implemented in the HOMEBOTS system. It shows how large numbers of electrical loads can be automatically managed by autonomous agents, that communicate and negotiate in an electronic multi-commodity market leading to optimal use of electrical power. The advantages of this agent-based approach compared to traditional methods for power load management are described. Second, we demonstrate through simulated business scenarios that significant energy cost savings can thus be achieved. Third, our approach has been tested in a field experiment in an energy distribution area in the South-East of Sweden. The performed field tests show that the real-time requirements for agent communication over the power line in energy services are well met in realistic application settings.

Place, publisher, year, edition, pages
URN: urn:nbn:se:uu:diva-25795OAI: oai:DiVA.org:uu-25795DiVA: diva2:53569
Available from: 2007-02-13 Created: 2007-02-13

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