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학술대회 A Solar Radiation Prediction Model Using Weather Forecast Data and Regional Atmospheric Data
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저자
한진수, 박완기
발행일
201806
출처
World Conference on Photovoltaic Energy Conversion (WCPEC) 2018, pp.2313-2316
DOI
https://dx.doi.org/10.1109/PVSC.2018.8547750
협약과제
18PH1200, 신재생 비율 및 그리드 특성에 따른 그리드 안정화 기술용 ESS 최적 연계 기술 개발 및 실증, 박완기
초록
Photovoltaic generation fluctuates depending on weather conditions. A reliable prediction of it is required for efficient use of it. This paper proposes a solar radiation prediction model using weather forecast and regional atmospheric data. Parameters not in weather forecast data are shown to be calculated from other parameters in the weather data. Simulation is carried out using hourly weather data of one year. The simulation results show that the cross correlation coefficient between the predicted and measured radiations is 0.947 and the model is reliable enough to predict hourly solar radiations.
키워드
hourly radiation, photovoltaic, solar radiation prediction, weather forecast
KSP 제안 키워드
Cross correlation coefficient, Weather forecast data, photovoltaic generation(PV), prediction model, simulation results, solar radiation prediction, weather conditions, weather data