Power Load Management as a Computational Market

Document type: Researchreports
Full text:
Author(s): Fredrik Ygge, Hans Akkermans
Title: Power Load Management as a Computational Market
Series: Research Report
Year: 1996
Issue: 6
ISSN: 1103-1581
Organization: Blekinge Institute of Technology
Department: Dept. of Computer Science and Business Administration (Institutionen för datavetenskap och ekonomi)
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+46 455 780 00
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Authors e-mail: fredrik.ygge@enersearch.se
Language: English
Abstract: Power load management enables energy utilities to reduce peak loads and thereby save money. Due to the large number of different loads, power load management is a complicated optimization problem. We present a new decentralized approach to this problem by modeling direct load management as a computational market. Our simulation results demonstrate that our approach is very efficient with a superlinear rate of convergence to equilibrium and an excellent scalability, requiring few iterations even when the number of agents is in the order of one thousand. A framework for analysis of this and similar problems is given which shows how nonlinear optimization and numerical mathematics can be exploited to characterize, compare, and tailor problem-solving strategies in market-oriented programming.
Subject: Computer Science\Artificial Intelligence
Computer Science\Distributed Computing
Keywords: Multi-agent Systems, Power Load Management
Note: In Proceeding of ICMAS '96 http://www.keihanna-plaza.co.jp/ICMAS96/index.html
URN: urn:nbn:se:bth-00021