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Power Load Management as a Computational Market
Responsible organisation
1996 (English)Conference paper, Published paper (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
AAAI Press , 1996.
Keyword [en]
convergence of numerical methods, cooperative systems, digital simulation, iterative methods, load management, marketing, optimisation, power system analysis computing, problem solving
National Category
Computer Science
Identifiers
URN: urn:nbn:se:bth-9401Local ID: oai:bth.se:forskinfoECB4B18D63D5255DC12568A3002CAB38OAI: oai:DiVA.org:bth-9401DiVA: diva2:837237
Conference
Second International Conference on Multi-Agent Systems (ICMAS ´96)
Available from: 2012-09-18 Created: 2000-03-15 Last updated: 2015-06-30Bibliographically approved

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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Output format
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