基于支持向量机光伏电池最大功率点跟踪研究

介绍了支持向量机（support vector machine,SVM）和光伏电池的数学模型,利用SVM技术对光伏电池的最大功率点所对应的最佳动作电压进行回归预测分析。通过 MATLAB/Simulink 建立仿真模型,采用基于 SVM的改进扰动算法进行最大功率点跟踪仿真研究,结果证明利用 SVM回归预测技术来实现最大功率点跟踪控制,能有效减少跟踪时间、扰动次数以及功率振荡现象,可以更好地发挥光伏电池的性能。

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

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.