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Maximum power point tracking method based on adaptive fuzzy control

A maximum power point, self-adaptive fuzzy technology, applied in the direction of self-adaptive control, general control system, control/regulation system, etc., can solve the problems of poor dynamic and steady-state performance, achieve simple determination, and strengthen the ability to resist interference from external factors , good dynamic response performance

Inactive Publication Date: 2018-11-13
NANJING UNIV OF SCI & TECH
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the problem of poor dynamic and steady-state performance of the current common photovoltaic cell maximum power point tracking method and propose a maximum power point tracking method based on adaptive fuzzy control

Method used

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  • Maximum power point tracking method based on adaptive fuzzy control
  • Maximum power point tracking method based on adaptive fuzzy control
  • Maximum power point tracking method based on adaptive fuzzy control

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Embodiment

[0052] A maximum power point tracking method based on adaptive fuzzy control, comprising the following steps:

[0053] Step 1, determine the input variables and output variables of the fuzzy controller, the speech variables E and E c and the output ΔU are respectively defined as 7 fuzzy subsets, where E and E c represent dP / dU and ΔdP / dU, respectively, that is

[0054] E = {NB NM NS Z PS PM PB};

[0055] E. c = {NB NM NS Z PS PM PB};

[0056] D. c = {NB NM NS Z PS PM PB}.

[0057] Define their domains of discourse as 17 and 11 levels respectively, that is

[0058] E={-8 -7 -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6 7 8};

[0059] E. c = {-8 -7 -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6 7 8};

[0060] D. c = {-3 -2 -1 0 1 2 3}.

[0061] Step 2, determine the fuzzy control rule table, input the 49 control rules shown in Table 1, the number of fuzzy control rules can be determined according to the number of fuzzy subsets, because there are two input quantities of the fuzzy controller, and e...

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Abstract

The invention discloses a maximum power point tracking method based on adaptive fuzzy control. The method comprises the following steps of 1) determining an input variable and an output variable of afuzzy controller; 2) summarizing control rules of the fuzzy controller; 3) determining fuzzification and anti-fuzzification methods; 4) determining relevant parameters such as the division of disclosure domains, quantization factors and the like. An adaptive fuzzy control MPPT method has fast tracking speed and good dynamic response performance, has almost no fluctuation after reaching a steady state, and can track the maximum power point of a photovoltaic array stably and efficiently. Under the condition of disturbance of system parameters such as illumination intensity, ambient temperature and the like, new working points can be quickly found, and a system is kept stable; the ability of a solar photovoltaic system to resist external factors is strengthened, the system parameters are confirm and simple, and energy waste is reduced.

Description

technical field [0001] The invention belongs to the field of new energy power generation, in particular to a maximum power point tracking method based on adaptive fuzzy control. Background technique [0002] In recent years, under the dual pressure of global energy shortage and serious environmental pollution, seeking renewable energy is a current hot issue. As a green renewable energy, solar energy has the advantages of wide distribution and no pollution, so it is widely accepted by the public. favor. Converting solar energy into electrical energy is an important conversion form of solar energy. At present, photoelectric conversion technology is constantly developing and growing, and has reached the level of large-scale application. Under the background of taking the road of sustainable development, photovoltaic cells have a good development prospect. Although photovoltaic power generation technology has broad prospects, there are still some problems. The high price of p...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05F1/67G05B13/04
CPCG05B13/041G05F1/67Y02E10/56
Inventor 沈岳峰杨烨熊玉倩江晓燕李国军
Owner NANJING UNIV OF SCI & TECH
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