一种基于神经网络的光伏电源最大功率控制系统

A maximum power control system of photovoltaic cells based on neural network

对太阳能光伏电源 (PV)的最大输出功率进行了研究 ,采用神经网络对光电阵列最大功率输出点进行识别、跟踪和控制 ,并通过逆变器将光伏电源产生的直流电逆变为供居民 商业电力系统使用的交流电 ,同时针对非线性交流负载 ,设计出了一种有效、实用的有源滤波器 .实验表明 ,本装置能准确跟踪和输出光伏电源的最大功率 ,加入有源滤波器可有效抑制交流侧的谐波并提高功率因数 .

The maximum output power of photovoltaic cells(PV) is investigated,and the neural network is adopted for the identifying,tracking and controlling of maximum photovoltaic power. The DC power of PV can be used for civil or commercial applications through the inverting of an inverter. An effective and practical design of active power filter for nonlinear AC loads is presented. The experiment shows that the device can precisely track and output the maximum power of PV system .The active power filter also can effectively suppress the low-frequency harmonic and elevate the power factor of AC load.