Solar CVT control method based on temperature detection

Abstract

The invention discloses a solar CVT (Constant-Voltage Transformer) control method based on temperature detection, which comprises a photovoltaic cell array, a DC / DC (Direct Current / Direct Current) converter, a photovoltaic voltage detection circuit, a PI (Proportional-Integral) adjuster, a PWM (Pulse-Width Modulation) controller, an isolation driving circuit, a temperature sensor and an arithmetic circuit are provided, wherein the photovoltaic cell array is connected with the DC / DC converter; the temperature sensor, the arithmetic circuit, the PI adjuster, the PWM controller and the isolation driving circuit are connected between the photovoltaic cell array and the DC / DC converter sequentially; and the photovoltaic voltage detection circuit is connected in parallel between the photovoltaic cell array and the DC / DC converter, and connected with the PI adjuster. A temperature of a photovoltaic cell is detected by the temperature sensor; a set voltage value of a maximum power point is adjusted in real time according to the detected temperature and the voltage-temperature characteristic of the measured maximum power point of the photovoltaic cell; and the method is simple in structure, low in cost and high in practicability.

Description

technical field [0001] The invention relates to the field of solar photovoltaic cells, in particular to a temperature detection-based solar CVT control method. Background technique [0002] As a non-polluting, renewable new energy source, solar energy has very broad development prospects and has been widely used at home and abroad. Solar photovoltaic power generation is a power generation method that uses the photovoltaic effect of solar cells to directly convert solar energy into electrical energy and make rational use of it. The photovoltaic effect of photovoltaic cells is as follows: figure 1 As shown, there is an electromotive force generated between the two poles of the photovoltaic cell, and when the load (such as a light bulb) is connected, a current flows in the circuit. However, in practical applications, especially in applications with high power, the photovoltaic cell is directly connected to the The load is not feasible, because in general, the load does not mat...

AI Technical Summary

Problems solved by technology

This method considers the influence of the CVT control method such as light intensity and other environmental factors. Impact on photovoltaic power generation

In addition, this method needs to use the control chip to store the given voltage of the solar photovoltaic cell under different sunlight intensities, which is relatively complicated.

[0008] 4) The application number is "2003101205481" and the name is "Maximum Power Tracking Method and Device for Solar Power Generation System". This invention uses the disturbance observation method, which needs to use single-chip microcomputer, DSP, etc. as the controller, and requires programming, which is relatively complicated to implement , and can only oscillate near the maximum power point, which will cause some power loss. The given initial value and tracking step size have a great impact on tracking accuracy and speed

[0009] 5) The application number is "2006100261702", and the name is "solar battery maximum power point tracking device and its tracking method". This invention uses the disturbance observation method, and its disadvantages are the same as those of the fourth article. It needs to use single-chip microcomputer, DSP, etc. for control It needs to be programmed, and it is more complicated to implement, and it can only oscillate near the maximum power point, which will cause some power loss. The given initial value and tracking step size have a great impact on tracking accuracy and speed

[0010] 6) The application number is "200510103749X", and the name is "solar battery maximum power point tracking device and its tracking method". This invention uses a genetic algorithm with high precision and high efficiency, but the circuit needs to use a digital microprocessor , the control algorithm is more complicated and the cost is higher

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