Fast photovoltaic power generation maximum power point tracking (MPPT) method

Abstract

The invention discloses a fast photovoltaic power generation maximum power point tracking (MPPT) method. In the method, AD sampling mean value obtaining is carried out multiple times to obtain voltage, currents and work environment temperature of a photovoltaic cell array, a memorizer is searched for to obtain the corresponding pulse duty cycle (PWM) numerical value, needed when the current working point is to be adjusted to the maximum power working point, of the MPPT controller, disturbance quantity is exerted, and disturbance is stopped when power generation efficiency variable quantity is smaller than a preset value, or a system is in a reciprocating disturbing oscillation process. According to the control method, a look-up table method is used for fast locating the position close to the maximum power point, a disturbance observing method is adopted to accurately find the maximum power point, data in the memorizer is updated, and adaptivity of the MPPT controller is improved.

Description

technical field [0001] The invention relates to the technical field of solar photovoltaic array power generation, in particular to an MPPT method for fast maximum power point of photovoltaic power generation. Background technique [0002] In recent years, with the sharp decline of traditional energy reserves, emerging energy, especially solar photovoltaic power generation technology, has received more attention and development. Due to the nonlinearity of the I-V curve of solar photovoltaic power generation, different output voltages under the same light intensity and operating temperature will result in different output powers. In order to improve power generation efficiency, maximum power point tracking technology (MPPT) has been widely used. At present, the relatively mature MPPT algorithms include mountain climbing / disturbance observation method and incremental conductance method. The advantage of mountain climbing / disturbance observation method is that it is simple and...

AI Technical Summary

Problems solved by technology

Although this method is simple and easy to implement, it has low tracking accuracy and poor adaptability. On the one hand, the data in its memory is obtained from the test of a limited photovoltaic array, and the data will inevitably be different from the power generation characteristics of a specific photovoltaic power generation array; On the other hand, as the usage time increases, solar photovoltaic panels will experience a certain degree of aging or partial failure, so their power generation characteristic curves will also change accordingly.

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