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The purpose of this article is to provide insight of a new simple forecasting method based on a state-estimation algorithm known as the Kalman filter. While the accuracy of such algorithm is not comparable to state-of-the-art forecasting algorithms for PV-power production it does not require any internet connection, eyefish cameras or time intensive training. The algorithm was tested with several months of real high-resolution data with adequate results for the intended applications. The minimization of the necessary spinning reserve on a PV-diesel hybrid system to increase the solar fraction and reduce diesel consumption.
Industrial hybrid systems with high pv penetration : performance, analysis and key success factors
(2016)
Since the first industrial-scale hybrid system was installed by SMA in 2012, information about the performance of several hybrid systems around the world has been monitored. This paper analyses the performance of SMA’s largest PV-Diesel hybrid system in the industrial-scale installed in Bolivia in 2014 and summarizes the lessons learned by managing this system with large-scale energy storage. The paper finally concludes with an outlook for future hybrid systems.