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

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 a...

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Bibliographic Details
Main Authors: Yi Zong, Cronin, T., Gehrke, O., Bindner, H., Hansen, J.C., Latour, M.I., Arcauz, O.U.
Format: Conference Proceeding
Language:English
Subjects:
Batteries
Costs
Energy consumption
Genetic algorithm
Genetic algorithms
Load management
optimization
Production
Refrigeration
Temperature control
Wind energy
Wind turbines
Online Access:Request full text
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Summary: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.
DOI:10.1109/PTC.2009.5282071