Allocation of Energy Storage Capacity for Large Wind Farms in Korea using Discrete Fourier Transform

S. Moon, R. Labios, B. Chang, Soo-yeol Kim, Yong-Beum Yoon
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Abstract

In 2013, a total capacity of 591.3 MW of installed wind power generation was achieved in Korea, with a total of 1,139 MWh of wind energy generated that year. More wind power plants will be installed in the coming years, and it is important to develop methods to reduce the output variability of these resources so as to provide stable power to the power grid of Korea. In this regard, this paper proposes the use of energy storage system (ESS) as a means to stabilize the output variability of wind power plants. Presented in this paper is a method that uses Discrete Fourier Transform (DFT) to determine the ESS capacity needed to provide a stable power output for ancillary services such as frequency regulation, economic dispatch, and emergency reserves. In the first step of the proposed method, four regions (namely, Samdal, Yeongdeok, Yeongyang, and Gangwon) in Korea that had the most wind power generation capacity were selected for analysis. In the second step, the individual and aggregated wind power outputs of the selected regions in 2013 were obtained This information was then used in the third step, where DFT analysis of the power outputs was used to drive the magnitudes of the output variation. And finally, the ESS capacity requirements needed to provide different ancillary services were determined based on the magnitudes of the output variation.
离散傅里叶变换在韩国大型风电场储能容量分配中的应用
2013年,韩国风电装机容量达到591.3兆瓦,全年风电总发电量为1139兆瓦时。未来几年将安装更多的风力发电厂,因此开发减少这些资源输出变异性的方法以向韩国电网提供稳定的电力是很重要的。为此,本文提出利用储能系统(ESS)作为稳定风电场输出变异性的手段。本文提出了一种使用离散傅立叶变换(DFT)来确定为辅助服务(如频率调节、经济调度和应急储备)提供稳定电力输出所需的ESS容量的方法。在第1阶段,选取了国内风力发电能力最大的4个地区(三达、盈德、盈阳、江原)进行分析。在第二步中,获得所选地区2013年的单个和汇总风电输出,然后在第三步中使用这些信息,其中使用功率输出的DFT分析来驱动输出变化的幅度。最后,根据输出变化的大小确定了提供不同辅助服务所需的ESS容量需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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