Tracking control method for maximum power of wind and photovoltaic complementary power generation system

Abstract

The invention provides a tracking control method for the maximum power of a wind and photovoltaic complementary power generation system. The maximum power of the wind and photovoltaic complementary power generation system is computed by combining a perturbation and observation method with a quadratic interpolation method. The tracking control method is characterized in that measurement parameters of the perturbation and observation method are fewer, a structure is simple, and the maximum power point of the system tends forwards by means of continuous perturbation; voltage of the maximum power point of photovoltaic power generation and rotation speed of the maximum power point of wind power generation are obtained by the quadratic interpolation method by means of fitting a quadratic curve; and the two methods are combined, so that power loss caused by oscillation when only the perturbation and observation method is used can be avoided, advantages are enhanced while shortcomings are avoided, and the maximum power point can be quickly and accurately found out.

Description

technical field [0001] The invention relates to a wind-solar hybrid power generation system, in particular to a maximum power tracking control method for a wind-solar hybrid power generation system. Background technique [0002] The wind-solar hybrid power generation system is greatly affected by light, temperature, wind speed and direction, and corresponds to the corresponding maximum power point under certain external environmental conditions. Therefore, it is necessary to carry out maximum power tracking control to improve the power generation efficiency of the system. One of the commonly used maximum power point tracking algorithms is the perturbation and observation method. Compared with the methods of tip speed ratio, incremental conductance and power feedback, this method has fewer measurement parameters and a simpler structure. The principle of the algorithm is to judge the direction of the disturbance by the amount of power change before and after the disturbance. ...

AI Technical Summary

Problems solved by technology

The disadvantage of this algorithm is that the tracking accuracy and speed are closely related to the selection of the tracking step size and the initial value. If the tracking step size is too small, the tracking speed will be slow when the external environment changes rapidly; if the tracking step size is too large, when the maximum When the power point is near, it will increase the vibration and lose more power. Sometimes, the program control disorder occurs during operation, and the phenomenon of "misjudgment" occurs

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