DJOA-based Photovoltaic system maximum power tracing method under local sunshade condition

Abstract

The embodiment of the invention discloses a DJOA-based photovoltaic system maximum power tracing method under a local sunshade condition. The method comprises the following steps of S100, building a photovoltaic system maximum power tracing optimization model under the local sunshade condition; S200, inputting illumination intensity received by a photovoltaic system, environment temperature and photovoltaic system initial voltage into a DJOA-based maximum power tracer; S300, utilizing the DJOA-based maximum power tracer for constantly executing a democratic army joint combating algorithm, andoutputting a corresponding duty ratio; S400, inputting the duty ratio into an insulated gate bipolar transistor after the duty ratio is subjected to pulse width modulation, adjusting output voltage ofthe photovoltaic system, and feeding back the output voltage into the maximum power tracer based on the democratic army joint combating algorithm; S500, constantly repeating S300-S500 until a convergence condition is satisfied, and outputting the optimal duty ratio to obtain optimal output voltage of the photovoltaic system and a corresponding global maximum power point. The method has the advantages of being low in control cost, short in tracing time and high in tracing precision.

Description

technical field [0001] The invention relates to the technical field of photovoltaic discharge systems, in particular to a DJOA-based maximum power tracking method for photovoltaic systems under partial shading conditions. Background technique [0002] With the increasingly serious environmental pollution, solar energy, as a kind of green energy, is becoming more and more important in the power system. However, due to the large surface area covered by the photovoltaic array, it may be exposed to different intensities of light. This phenomenon is called partial shading conditions. When partial shading conditions occur, the photovoltaic system will have multiple local maximum power points. ,Such as image 3 and Figure 4 As shown, if the photovoltaic system does not operate at the global maximum power point, a large amount of solar energy will be wasted. [0003] Maximum power point tracking plays an important role in photovoltaic systems. At present, the most mature and wide...

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Problems solved by technology

[0002] With the increasingly serious environmental pollution, solar energy, as a kind of green energy, is becoming more and more important in the power system. However, due to the large surface area covered by the photovoltaic array, it may be exposed to different intensities of light. This phenomenon is called partial shading conditions. When partial shading conditions occur, the photovoltaic system will have multiple local maximum power points. ,like image 3 and Figure 4 As shown, if the photovoltaic system does not operate at the global maximum power point, a large amount of solar energy will be wasted

[0003] Maximum power point tracking plays an important role in photovoltaic systems. At present, the most mature and widely used maximum power point tracking technology is mainly based on disturbance self-optimization methods, such as disturbance and observation method, conductance incremental method, etc., but Due to their own limitations, these methods have disadvantages such as low precision, long response time, poor adaptability, and easy to fall into the local maximum power point in the tracking process, resulting in a certain degree of energy waste.

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