Dampening variations in wind power generation—the effect of optimizing geographic location of generating sites

Authors

  • Lina Reichenberg,

    Corresponding author
    1. Department of Energy and Environment, Energy Technology, Chalmers University of Technology, Göteborg, Sweden
    • Correspondence: L. Reichenberg, Department of Energy and Environment, Energy Technology, Chalmers University of Technology, S-412 96 Göteborg, Sweden.

      E-mail: lina.reichenberg@chalmers.se

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  • Filip Johnsson,

    1. Department of Energy and Environment, Energy Technology, Chalmers University of Technology, Göteborg, Sweden
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  • Mikael Odenberger

    1. Department of Energy and Environment, Energy Technology, Chalmers University of Technology, Göteborg, Sweden
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ABSTRACT

This paper presents a method to dampen the variations in the output of aggregated wind power through geographic allocation of wind power generation sites. The method, which is based on the sequential optimization of site localization, is applied to the Nordic countries and Germany, using meteorologic wind speed data as the input. The results show that the variability in aggregated wind power output mitigates by applying sequential optimization. For the data used in this work, the coefficient of variation (standard deviation/mean) was 0.54 for the optimized aggregation of sites, as compared with 0.91 for the present day installation. An optimal allocation of wind power generation site reduces the need for dispatch and other measures to deal with the intermittent nature of wind power. Copyright © 2013 John Wiley & Sons, Ltd.

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