A Methodology for Calculating Representative Regional Photovoltaic Power Generation in 24 Hours of the Year for Expanding Renewable Energy Cloud Platform Functionality

Yong-Ha Kim, Yu-Ri Kim, Sang-Hwa Han, Hye-Seon Lee, Jong-Min Park, Gyu-Rim Han
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Abstract

In this study, a methodology for calculating representative regional photovoltaic power generation in 24 hours of the year was developed to expand renewable energy cloud platform functionality of Korea Energy Agency. To compute regional photovoltaic power generation in 24 hours of the year, the monthly regional representative insolation in 24 hours was calculated, as well as their probability distributions. Accordingly, the monthly regional photovoltaic power generation in 24 hours was calculated, and the expected value of regional photovoltaic power generation in 24 hours of the year was derived. Subsequently, the representative regional photovoltaic power generation in 24 hours of the year was calculated. Representative regional photovoltaic power generation in 24 hours of the year calculated in this study can be applied to distributed energy resources to resolve the output variability of renewable energy. The obtained result can be used for distributed resource operation planning, such as estimating the regional Energy Storage System capacity. Currently, the Korea Energy Agency's renewable energy cloud platform provides users only with information about solar installation. However, the function of the renewable energy cloud platform can be expanded by applying the results obtained in this study to the distributed resource operation planning.
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扩展可再生能源云平台功能的24小时代表性区域光伏发电计算方法
在本研究中,为了扩展韩国能源署的可再生能源云平台功能,开发了一种计算一年中24小时具有代表性的区域光伏发电量的方法。为了计算该区域全年24小时的光伏发电量,我们计算该区域24小时的每月代表性日照量及其概率分布。据此,计算每月24小时区域光伏发电量,推导出全年24小时区域光伏发电量期望值。随后,计算出具有代表性的区域全年24小时光伏发电量。本研究计算出的具有代表性的区域光伏发电在一年中24小时的发电量可以应用于分布式能源,解决可再生能源的输出变异性问题。所得结果可用于分布式资源运行规划,如估算区域储能系统容量。目前,韩国能源厅的可再生能源云平台只向用户提供有关太阳能安装的信息。然而,可再生能源云平台的功能可以通过将本研究的结果应用到分布式资源运营规划中来扩展。
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