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

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

Publikováno v: Zong, Y, Cronin, T, Gehrke, O, Bindner, H W, Hansen, J C, Latour, M I & Arcauz, O U 2009, Application genetic algorithms for load management in refrigerated warehouses with wind power penetration . in PowerTech, 2009 IEEE Bucharest . vol. 1-5, IEEE Power and Energy Society, pp. 1361-1366, 2009 IEEE Bucharest PowerTech Conference, Bucharest, Romania, 28/06/2009 . https://doi.org/10.1109/PTC.2009.5282071

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 t

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