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基于支持向量机光伏电池最大功率点跟踪研究

曹冲

广东电力Issue(12):19-23,75,6.
广东电力Issue(12):19-23,75,6.DOI:10.3969/j.issn.1007-290X.2014.12.005

基于支持向量机光伏电池最大功率点跟踪研究

Research on Maximum Power Point Tracing of Photovoltaic Cell Based on Support Vector Machine

曹冲1

作者信息

  • 1. 湖北孝感供电公司,湖北 孝感 432000
  • 折叠

摘要

Abstract

This paper introduces mathematical model of support vector machine and photovoltaic cell. By using SVM tech-nology,regression prediction analysis on the best action voltage of maximum power point of photovoltaic cell was conduc-ted. On the basis of MATLAB/Simulink,simulation model was established and simulation research on maximum power point tracing was carried out by using improved disturbance algorithm based on SVM. The result proved that it was able to effec-tively reduce tracing time,disturbance times and power oscillation by using SVM regression prediction technology to realize control on maximum power point tracing. Meanwhile,performance of photovoltaic cell was able to be developed preferably.

关键词

光伏发电/最大功率点跟踪/支持向量机/模型仿真

Key words

photovoltaic generation/maximum power point tracing/support vector machine/model simulation

分类

信息技术与安全科学

引用本文复制引用

曹冲..基于支持向量机光伏电池最大功率点跟踪研究[J].广东电力,2014,(12):19-23,75,6.

广东电力

OACSTPCD

1007-290X

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