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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.
Author of HS Reutlingen | Notholt, Antonio |
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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 |
Publisher: | WIP |
Place of publication: | Munich, Germany |
Document Type: | Conference proceeding |
Language: | English |
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 |