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Determining wind farm locations, allocation of wind farm capacity, and sizing of energy storage for 17 GW new wind power capacity in Korea

机译:确定风电场位置,风电场容量分配以及韩国17吉瓦新风电容量的储能规模

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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.
机译:韩国政府计划到2027年安装17 GW的风力发电容量。但是,尚未定义风力发电场的位置,单个风力发电场的发电能力以及最小化风力发电可变性的策略。在本文中,根据年度风速和可用性确定最佳位置,并使用加权评估方法分配每个选定位置的风电场发电量。此外,本文提出的将风电波动最小化的策略是风电场的聚集(以利用平滑效果)和集成储能系统(以平滑电力输出并提供辅助服务)。从韩国气象协会获得风数据,并使用2兆瓦Vesta风力发电机的功率曲线作为每个发电单元的模型来计算风能输出。通过使用离散傅里叶变换分析和概率密度分析来确定ESS容量。

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