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基于改进分数阶卡尔曼滤波的光伏发电功率预测算法

周志兵

电器与能效管理技术Issue(4):41-45,5.
电器与能效管理技术Issue(4):41-45,5.DOI:10.16628/j.cnki.2095-8188.2017.04.009

基于改进分数阶卡尔曼滤波的光伏发电功率预测算法

Prediction Algorithm of Photovoltaic Power Based on Modified Fractional Kalman Filter

周志兵1

作者信息

  • 1. 国网安徽省电力公司 芜湖供电公司, 安徽 芜湖 241000;河海大学 机电工程学院, 江苏 常州 213022
  • 折叠

摘要

Abstract

The fractional theory was applied into the photovoltaic power prediction.The analysis of the fractional system and fractional order difference equation was carried out.The photovoltaic power generation data was evaluated by the fractional order characteristic equations.The photovoltaic power prediction algorithm based on modified fractional Kalman filter was proposed.The accuracy of the proposed method is verified by the filed data, which meets the requirements of engineering application.

关键词

分数阶理论/卡尔曼滤波/改进分数阶模型/光伏发电/功率预测

Key words

fractional theory/Kalman filter/modified fractional model/photovoltaic power generation/power prediction

分类

信息技术与安全科学

引用本文复制引用

周志兵..基于改进分数阶卡尔曼滤波的光伏发电功率预测算法[J].电器与能效管理技术,2017,(4):41-45,5.

基金项目

国家重点研发计划(2016YFB0901100) (2016YFB0901100)

电器与能效管理技术

2095-8188

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