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Particle swarm algorithm based photovoltaic cell panel maximum-power tracking method and system

A technology of maximum power tracking and photovoltaic panels, which is applied in photovoltaic power generation, control/regulation systems, and regulation of electrical variables. It can solve problems such as large errors, tracking speeds that cannot get rid of the limitations of method principles, and low tracking efficiency.

Active Publication Date: 2015-01-28
CHONGQING UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] Among them, the constant voltage method is to take the corresponding voltage value of the maximum power in the statistical process, because it cannot change according to the light intensity of the day, so the error is large
The perturbation and observation method is simple to apply, but the tracking efficiency is not high, and sometimes even tracking errors occur
Although the fuzzy control method has improved the tracking accuracy, the tracking speed cannot get rid of the limitation of the method principle

Method used

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  • Particle swarm algorithm based photovoltaic cell panel maximum-power tracking method and system
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  • Particle swarm algorithm based photovoltaic cell panel maximum-power tracking method and system

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Embodiment 1

[0104] This embodiment provides a method for tracking maximum power of photovoltaic panels based on particle swarm optimization, including the following steps:

[0105] S1: Adjust the battery board load to match the internal resistance of the battery board;

[0106] S2: Select a power value less than the maximum output power from the output power value of the battery panel, as the initial power value compared with the fitness calculated after iteration, and assign it to the power parameter Pmax in the controller;

[0107] S3: Scatter and take several voltage values ​​between 0 and the open circuit voltage Voc of the battery board as the initial position of the particle position and the number of particles, and assign them to the parameters in the controller respectively;

[0108] S4: Use the power value corresponding to the initial position of each particle as the particle optimal value of the corresponding particle;

[0109] S5: By comparing the optimal values ​​of each part...

Embodiment 2

[0185] Such as Figure 1-Figure 7 As shown, the maximum power tracking method for photovoltaic panels based on the particle swarm algorithm provided by the present invention adjusts the movement direction and size of the particles according to the optimal value of each individual and the optimal value of the entire group, so it can be in the optimal Under the guidance of the value, make a quick response and update iteratively to the optimal value.

[0186] During the maximum power tracking process of the photovoltaic cell panel, several values ​​are scattered between 0 and Voc as the number of particles, and the voltage value is used as the initial value of the particle position. In one-dimensional space, the power value corresponding to the initial position of each particle is used as the optimal value of the corresponding particle, and the maximum value is selected as the optimal value of the particle group by comparing the optimal values ​​of each particle, that is, the tra...

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Abstract

The invention discloses a particle swarm algorithm based photovoltaic cell panel maximum-power tracking method. The method includes: firstly, setting initial power values to determine initial positions of particle positions and the number of particles; then taking the power values corresponding to the initial positions of the particles as the optimal particle values corresponding to the particles; finally, selecting out the maximum values as optimal swarm values of particle swarms by comparison of the optimal particle values and outputting the optimal swarm values. Output voltage of a photovoltaic cell plate can be acquired according to the particle swarm algorithm, duty ratio of PWM (pulse-width modulation) is taken as updating speed of the particles, and the output voltage of the cell plate is taken as objective functions used for judging the particle positions; the updating speed of the particles is taken as output to perform PWM on a switching tube of a Boost circuit to acquire the updated particle positions, and directions are given for updating of the particles with the selected optimal values; the optimal values of the particles are searched, and an MPPT (maximum power point tracking) objective is realized. The tracking method is high in intelligent degree and tracking precision, and the cell plate capable of tracking the maximum power value points without falling into locality is the optimal.

Description

technical field [0001] The invention relates to the field of photovoltaic cell control, in particular to a method and system for tracking the maximum power of a photovoltaic cell panel based on a particle swarm algorithm. Background technique [0002] The output power of photovoltaic panels will gradually increase and then decrease with the increase of output voltage. In order to maximize the output power of photovoltaic panels, the output voltage must be tracked to make it work at the maximum power point. After many years of relevant research at home and abroad, in the actual Maximum Power Point Tracking (MPPT), the more common applications are constant voltage tracking method, perturbation and observation method, conductance incremental method, fuzzy control method and particle swarm algorithm ( particle swarm optimization, PSO), etc. [0003] Perturb and Observe (P&O); this method is to change the output voltage of the battery panel by disturbance, then observe the outpu...

Claims

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Application Information

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IPC IPC(8): G05F1/67
CPCY02E10/56
Inventor 冯文林薛继元冯序牟小燕
Owner CHONGQING UNIV OF TECH
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