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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引用次数: 0
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.