MPPT control method and device, photovoltaic power generation device and readable storage medium

Abstract

The invention provides an MPPT control method and device, a photovoltaic power generation device and a computer readable storage medium. The MPPT control method comprises the following steps of acquiring at least one of the following parameter information of illumination intensity, environment temperature and illumination time; inputting the parameter information into a preset RBF neural network to obtain a voltage value corresponding to the global maximum power point of a photovoltaic system, wherein the preset RBF neural network is obtained by the following training steps of acquiring the positive sample information, wherein the positive sample information comprises the parameter information; training the RBF neural network by using the positive sample information until the difference between the output of the RBF neural network and the target output is less than a predetermined threshold; and taking the RBF neural network as the preset RBF neural network. According to the invention,the problems of low precision and slower response of the MPPT control method in the prior art are solved, the local optimization problem during neural network optimization is also avoided, and the precision and speed of the prediction control are improved.

Description

technical field [0001] The invention relates to the technical field of new energy power generation control systems, in particular to an MPPT control method, device, photovoltaic power generation equipment, and computer-readable storage medium. Background technique [0002] The Maximum Power Point Tracking (MPPT) controller can intelligently adjust the operating voltage of the solar panel so that the solar panel always works at the maximum power point of the I-V characteristic operating curve. The utilization rate of the power generated by the panels has increased by 10-30%, which plays a vital role in the stable and efficient operation of the photovoltaic system. [0003] Existing control methods for thin-film solar electric vehicle battery MPPT include, for example, constant voltage method, disturbance observation method and conductance increment method. For the constant voltage method, when the system works at the maximum power point, the voltage is almost a fixed value, ...

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Problems solved by technology

[0004] However, the above-mentioned MPPT control methods have some problems. If the constant voltage method is used in areas with large temperature differences, the output error of the maximum power will increase, resulting in economic losses.

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