Maximum Power Point Tracing of photovoltaic cells with OIF-Elman network

In this paper, a new control method of MPPT (Maximun Power Point Tracing) based on OIF(output-input feedback)-Elman neural network algorithm is proposed. With this method, PV (photovoltaic) module and Cuk converter are taken as a whole. Voltage and current of circuit are detected directly, and the duty of the Cuk converter is controlled by the neural network algorithm. Compared with classic Elman network, OIF-Elman network takes into account not only the hidden nodes feedback but also the output nodes feedback so as to obtain more information from limited sampling spots. The method makes the system very simple. The experimental results show that the proposed method can track MPP quickly, exactly and steadily, irrespective the large scale change of irradiation intensity and circumstance temperature.