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A global maximum power point tracking method for photovoltaic arrays

A technology of maximum power point and photovoltaic array, which is applied in photovoltaic power generation, instruments, and regulation of electric variables, etc., to achieve good dynamic tracking ability and speed up tracking speed

Inactive Publication Date: 2017-03-22
TONGJI UNIV
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  • Claims
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AI Technical Summary

Problems solved by technology

The PSO algorithm has a fast global convergence speed, but there is no way to jump out of the local maximum power point, and the algorithm needs to be restarted after the local shadow condition changes

Method used

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  • A global maximum power point tracking method for photovoltaic arrays
  • A global maximum power point tracking method for photovoltaic arrays
  • A global maximum power point tracking method for photovoltaic arrays

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Embodiment Construction

[0043] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0044] A photovoltaic array global maximum power point tracking method, which combines the artificial immune algorithm with the bacterial foraging algorithm to propose an immune bacterial foraging algorithm.

[0045] Using the random selection direction characteristics of the bacterial foraging algorithm to dynamically track the global maximum power point without restarting the algorithm in a time-varying environment;

[0046] The immune selection operator and immune memory operator of the artificial immune algorithm are used to improve the tracking and positioning ability of the global maximum power point under the condition of dynamic and repeated local shadows.

[0047] The immune bacteria foraging algorithm is a swarm intelligence algorithm, which is suitable for situations where it is difficult to establish a mathematical model for large...

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Abstract

The invention relates to a method for tracking a whole-situation maximum power point in a photovoltaic array, wherein an immune bacteria foraging algorithm is put forward through combination of an artificial immune algorithm and a bacteria foraging algorithm; the whole-situation maximum power point can be tracked dynamically in a time-varying environment according to the characteristic of random direction selection of the bacteria foraging algorithm, and the algorithm needs not to be restarted; an immune-selection operator and an immune memory operator of the artificial immune algorithm strengthen a capability of tracking and positioning the whole-situation maximum power point under the condition that partial shadows appear dynamically and repeatedly; and the immune bacteria foraging algorithm comprises a chemotaxis subprogram, a reproduction subprogram, an immigration subprogram and a memory pond updating subprogram. In comparison with the prior art, the method provided by the invention has the advantages of high efficiency and quick operations, etc.

Description

technical field [0001] The invention relates to a photovoltaic array maximum power point tracking algorithm, in particular to a photovoltaic array global maximum power point tracking method. Background technique [0002] The electrical characteristics of the battery caused by aging, partial shadowing and different manufacturing processes cause multiple power peak points on the P-U curve of the photovoltaic array. The traditional single-peak maximum power point tracking method cannot distinguish between the local maximum power point and the global maximum power point. If the global maximum power point cannot be tracked correctly, it will not only cause a large amount of energy loss, but also increase the complexity of photovoltaic array scheduling. [0003] Both the photovoltaic array configuration optimization method and the supercapacitor compensation method can weaken the influence of local shadow conditions, making the P-U curve similar to the normal single peak output c...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05F1/67
CPCG05F1/67Y02E10/56
Inventor 张明锐蒋利明
Owner TONGJI UNIV
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