Based on Time Series Prediction of Photovoltaic Power Plant Output

Abstract:

Article Preview

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.

Info:

Periodical:

Advanced Materials Research (Volumes 383-390)

Edited by:

Wu Fan

Pages:

5142-5147

DOI:

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

Citation:

W. G. Li et al., "Based on Time Series Prediction of Photovoltaic Power Plant Output", Advanced Materials Research, Vols. 383-390, pp. 5142-5147, 2012

Online since:

November 2011

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Price:

$35.00

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