Application genetic algorithms for load management in refrigerated warehouses with wind power penetration

Yi Zong, Tom Cronin, Oliver Gehrke, Henrik W. Bindner, Jens Carsten Hansen, Mikel Iribas Latour, Oihane Usunariz Arcauz

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    Wind energy is produced at random times, whereas the energy consumption pattern shows distinct demand peaks during day-time and low levels during the night. The use of a refrigerated warehouse as a giant battery for wind energy is a new possibility that is being studied for wind energy integration as well as a way to store electricity produced during night-time by wind turbines. The controller for load management in a refrigerated warehouse with wind power penetration by GA-based is introduced in this paper. The objective function is to minimize the energy consumption for operating the refrigerated warehouse. It can be seen that the GA-based control strategy achieves feasible results for operating the temperature in refrigerated warehouse. Balancing the wind power production with refrigerated warehouse load management promises to be a clean and cost effective method. For refrigerated warehouse owners, it has the potential to lower operational costs.
    Original languageEnglish
    Title of host publicationPowerTech, 2009 IEEE Bucharest
    PublisherIEEE Power and Energy Society
    Publication date2009
    ISBN (Print)978-1-4244-2235-7
    Publication statusPublished - 2009
    Event2009 IEEE Bucharest PowerTech Conference - Bucharest, Romania
    Duration: 28 Jun 20092 Jul 2009


    Conference2009 IEEE Bucharest PowerTech Conference
    Internet address

    Bibliographical note

    Copyright: 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE


    • Wind energy systems
    • Wind energy

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