Based on Time Series Prediction of Photovoltaic Power Plant Output

Wei Guo Li; Zhi Min Liao; Xue Lin Sun

doi:10.4028/www.scientific.net/AMR.383-390.5142

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 383-390Based on Time Series Prediction of Photovoltaic...

Based on Time Series Prediction of Photovoltaic Power Plant Output

Abstract:

With the PV power system capacity continues to expand, PV power generation forecasting techniques can reduce the PV system output power of randomness, it has great impact on power systems. This paper presents a method based on ARMA time series power prediction model. With historical electricity data and meteorological factors, the model gets test and evaluation by Eviews software. Results indicated that the prediction model has high accuracy, it can solve the shortcomings of PV randomness and also can improve the ability of the stable operation of the system.

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Periodical:

Advanced Materials Research (Volumes 383-390)

Pages:

5142-5147

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.383-390.5142

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Online since:

November 2011

Authors:

Wei Guo Li, Zhi Min Liao, Xue Lin Sun

Keywords:

ARMA Model, Power Forecast, Time-Series

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