Power Load Management as a Computational Market

F. Ygge, J.M. Akkermans, J.M. Akkermans

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    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. Aframework 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.
    Original languageUndefined
    Title of host publicationProc. Second International Conference on Multi-Agent Systems (ICMAS'96)
    Place of PublicationKyoto, Japan
    PublisherAAAI Press
    Pages393-400
    ISBN (Print)0-1-57735-013-8
    Publication statusPublished - 10 Dec 1996
    EventSecond International Conference on Multi-Agent Systems, ICMAS 1996, Kyoto, Japan -
    Duration: 1 Jan 19961 Jan 1996

    Publication series

    Name
    PublisherAAAI Press

    Other

    OtherSecond International Conference on Multi-Agent Systems, ICMAS 1996, Kyoto, Japan
    Period1/01/961/01/96

    Keywords

    • IR-19477
    • METIS-120000

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