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2022 Vol.42, Issue 5 Preview Page
A Methodology for Calculating Representative Regional Photovoltaic Power Generation in 24 Hours of the Year for Expanding Renewable Energy Cloud Platform Functionality

재생에너지 클라우드 플랫폼 기능 확장을 위한 지역별 연중 대표 24시간대 태양광 발전량 산정 방법론

Yong-Ha Kim1
,
Yu-ri Kim2
,
Sang-Hwa Han3
,
Hye-Seon Lee3
,
Jong-Min Park3
,
Gyu-Rim Han2*
김 용하1
,
김 유리2
,
한 상화3
,
이 혜선3
,
박 종민3
,
한 규림2*
1Professor, Department of Electrical Engineering, Incheon National University
2MS Candidate, Department of Electrical Engineering, Incheon National University
3Ph.D. Candidate, Department of Electrical Engineering, Incheon National University
1인천대학교 전기공학과, 교수
2인천대학교 전기공학과, 석사과정
3인천대학교 전기공학과, 박사과정
*Corresponding Author
30 October 2022. pp. 25-36
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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.

Keywords
Photovoltaic power generation
Probability distribution of monthly representative insolation in 24 hours
Representative PV power generation in 24 hours of the year
Expected value of PV power generation in 24 hours of the year
Adjusting Factor
Renewable Energy Cloud Platform
키워드
태양광 발전량
월별 대표 24시간대 일사량 확률분포
연중 대표 24시간대 PV 발전량
연중 24시간대 PV 발전량 기대치
조정계수
재생에너지 클라우드 플랫폼
References
1
Jo, I. H. and Lee, J. S., International Renewable Energy Policy Change and Market Analysis (Continued), Korea Energy Economics Institute, Vol. 20, No. 27, p. 19, 2020.
2
Kim, M. J., Kim, S. R., and Kim, C. H., Global Carbon Neutrality Declaration Trend and Evaluation, World Energy Market Insight, Vol. 21, No. 21, pp. 1-4, 2021.
3
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Ministry of Trade, Distributed Energy Promotion Strategy, 2021.
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Industry and Energy, Local Energy Plan, Ministry of Trade, 2020.
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Jeong, S. W., Kim, B.J., Kim, J. R., Seong, W. B., Lee, S. U., Seo, S. H., and Park, H. G., Optimal Sizing and Control of ESS Incorporating PV and SMP Variability, Institute of Korean Electrical and Electronics Engineers, pp. 104-105, 2021.
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Lee, W. J. and Jung, J. S., Development of the Optimal Energy Storage System Charging/Discharging Scheduling Algorithm using Load and PV Generation Forecasting, Institute of Korean Electrical and Electronics Engineers, pp. 638-639, 2017.
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Korea Energy Agency, Renewable Energy Cloud Platform, 2022. https://recloud.energy.or.kr/main/main.do last accessed on the 23rd August 2022.
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Information and Communication Technology Glossary, 2022. http://www.ktword.co.kr/test/view/view.php?m_temp1=1638 last accessed on the 23rd August 2022.
Information
  • Publisher :Korean Solar Energy Society
  • Publisher(Ko) :한국태양에너지학회
  • Journal Title :Journal of the Korean Solar Energy Society
  • Journal Title(Ko) :한국태양에너지학회 논문집
  • Volume : 42
  • No :5
  • Pages :25-36
  • Received Date : 2022-09-04
  • Accepted Date : 2022-10-07
  • DOI :https://doi.org/10.7836/kses.2022.42.5.025
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