Forecasting Systems for Autonomous Solar-Wind Power Systems

Autor: Yurchenko, A.V., Kozloff, A.V., Okhorzina, A.V., Yurchenko, E.V.
Jazyk: angličtina
Rok vydání: 2014
Předmět:
DOI: 10.4229/eupvsec20142014-5bv.2.27
Popis: 29th European Photovoltaic Solar Energy Conference and Exhibition; 2889-2891
The paper reports on the results of climatic testing of silicon PV modules and PV power systems of 50-5 kW conducted in Russia (Siberia and the Far East) over 1996 – 2013. Testing over 16 years and a large amount of experimental studies enabled us to develop a precise mathematical model of the PV module in natural environment under climatic and hardware factors. The model was used to develop Generating power forecasting technique for PV power systems with 5% accuracy up to a month forecasting interval. The forecasting technique developed enhanced minicomputer-based forecasting systems. Forecasting systems considering meteorological data and solar power system operability (stored energy, energy consumption dynamics, etc.) control the grid and energy consumption level and provide uninterrupted power supply for essential systems.
Databáze: OpenAIRE