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Very short-term solar irradiation forecasting method using state estimation based on Kalman filters for PV-Diesel hybrid systems

  • 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.

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Author of HS ReutlingenNotholt, Antonio
Erschienen in:33rd European Photovoltaic Solar Energy Conference and Exhibition : proceedings of the International conference held in Amsterdam, The Netherlands, 25 September-29 September 2017
Place of publication:Munich, Germany
Document Type:Conference proceeding
Publication year:2017
Tag:forecasting; hybrid; plant control
Page Number:3
First Page:2343
Last Page:2345
DDC classes:620 Ingenieurwissenschaften und Maschinenbau
Open access?:Nein