Abstract

The Korean government plans to install 17 GW of wind power capacity by 2027. However, wind farm locations, individual wind farm generation capacities, and the strategies for minimizing wind power variability have not yet been defined. In this paper, the best locations are identified based on annual wind speeds and availability, and the generation capacity of the wind farms at each selected location are allocated by using a weighted evaluation method. In addition, the strategies proposed in this paper for minimizing wind power variability are aggregation of wind farms (to take advantage of the smoothing effect) and integration of energy storage systems (to smoothen power output and provide ancillary services). Wind data was obtained from the Korea Meteorological Association, and wind power outputs were calculated using the power curve of a 2 MW Vesta wind turbine as a model for each generation unit. Sizing of ESS capacity was done by using Discrete Fourier Transform analysis and probability density analysis.

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