재생에너지 클라우드 플랫폼 기능 확장을 위한 지역별 연중 대표 24시간대 태양광 발전량 산정 방법론
A Methodology for Calculating Representative Regional Photovoltaic Power Generation in 24 Hours of the Year for Expanding Renewable Energy Cloud Platform Functionality
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초록
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.
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.
참고문헌 (10)
- Jo, I. H., "International Renewable Energy Policy Change and Market Analysis (Continued)", Korea Energy Economics Institute, 20(27), pp.19~ (2020)
- Kim, M. J., "Global Carbon Neutrality Declaration Trend and Evaluation", World Energy Market Insigh, 21(21), pp.1~4 (2021)
- Ministry of Trade, "Renewable Energy 3020 Implementation Plan", ~ (2017)
- Lee, S. M., "International Renewable Energy Policy Change and Market Analysis", Korea Energy Economics Institute, 19(21), pp.5~32 (2019)
- Ministry of Trade, "Distributed Energy Promotion Strategy", ~ (2021)
- Industry and Energy, "Local Energy Plan", Ministry of Trade, ~ (2020)
- Jeong, S. W., "Optimal Sizing and Control of ESS Incorporating PV and SMP Variability", Institute of Korean Electrical and Electronics Engineers, pp.104~105 (2021)
- Lee, W. J., "Development of the Optimal Energy Storage System Charging", Discharging Scheduling Algorithm using Load and PV Generation Forecasting, 2017, 638~639
- "Renewable Energy Cloud Platform" (2022)[URL]
- "Information and Communication Technology Glossary" (2022)[URL]