Implementing a climate database to produce stochastical feed-in curves of renewable energies

This paper will present an implemented solution for the production of stochastical feed-in curves of photovoltaic and wind energy. Therefore a climate database with more than 800 weather stations across the EU-27 was set up. The data were obtained with the software Meteonorm®. The obtained weather data are compared with real, measured data and then integrated in a simulation framework in Matlab/Simulink®. In addition technical models for photovoltaic and wind energy systems are presented. Finally the produced feed-in curves are investigated with respect to their characteristics and differences. Furthermore the impact of these differences on energy system simulation will be highlighted on the example of energy storage needs of high renewable energy scenarios for Germany.