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发明公开
CN103293950A 一种基于LSSVM的光伏最大功率点跟踪的控制方法 有权

一种基于LSSVM的光伏最大功率点跟踪的控制方法
摘要：
本发明公开了基于LSSVM的光伏最大功率点跟踪的控制方法，其步骤有：（1）建立光伏电池模型；（2）确定模型中设定温度值和太阳辐射强度下MPPT对应的电压和电流；（3）根据温度、太阳辐射强度、电压及电流的序列，得到最小二乘支持向量机模型中的训练集和测试集样本；（4）利用交叉验证方法选择最小二乘支持向量机的训练集的训练参数；（5）利用训练集的样本数据，通过选择的训练参数对最小二乘支持向量机进行训练，得到训练模型；（6）根据训练模型对所述测试集进行测试并对结果进行评价。本发明通过挖掘已知数据的内在规律，能够有效实现最大功率点处的输出电压和电流的跟踪，并且有效避免系统在最大功率点处震荡运行的缺点。
摘要（英）：

The invention discloses a control method for tracking a photovoltaic maximum power point based on an LSSVM. The control method for tracking the photovoltaic maximum power point based on the LSSVM includes the following steps: (1) establishing a photovoltaic battery model, (2) confirming setting of a temperature value, the voltage and the current corresponding to the MPPT in solar radiation intensity in the model, (3) obtaining samples of a training set and a testing set in a LSSVM model according to the sequence of the temperature, the solar radiation intensity, the voltage and the current, (4) selecting the training parameters of the training set of the LSSVM in a cross validation method, (5) training the LSSVM through the selected training parameters by means of the training samples of the training set and obtaining a training model, and (6) testing the testing set and evaluating the result according to the training model. According to the control method for tracking the photovoltaic maximum power point based on the LSSVM, the inherent law of given data is excavated, the output voltage and current at the maximum power point can be tracked effectively, and the defect that the system vibrates at the maximum power point is overcome effectively.

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