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基于LMS-Wiener滤波模型的光伏电站出力预测

辛晓帅 粱主坤

现代电力2013,Vol.30Issue(2):53-56,4.
现代电力2013,Vol.30Issue(2):53-56,4.

基于LMS-Wiener滤波模型的光伏电站出力预测

The Prediction of Power Output of Photovoltaic Station Based on LMS-Wiener Filter Model

辛晓帅 1粱主坤1

作者信息

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摘要

Abstract

The prediction of power output of PV station is a key technology for its connecting to power grid. The predicting model is built based on Wiener theory to improve forecasting accuracy. And Least Mean Square (LMS) algorithm is introduced to enhance environmental adaptability to model. Taking a PV station in QingHai province as example, the prediction accuracy of power output of the PV station that obtained by proposed LMS-Wiener filter model is compared with that obtained by general LMR model in engineering separately. A large number of experimental results show that the model based on LMS-Wiener has higher accuracy, and can meet the requirements of practical engineering applications.

关键词

光伏电站/出力/预测/Wiener滤波/LMS

Key words

photovoltaic station/ output power/ forecasting/ Wiener filter/ LMS

分类

信息技术与安全科学

引用本文复制引用

辛晓帅,粱主坤..基于LMS-Wiener滤波模型的光伏电站出力预测[J].现代电力,2013,30(2):53-56,4.

现代电力

OA北大核心CSTPCD

1007-2322

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