Photovoltaic multimodal MPPT control method based on improved quantum particle swarm optimization

A technology of quantum particle swarm and control method, applied in the field of photovoltaic multi-peak MPPT control, can solve the problem of falling into local extreme points, etc., and achieve the effect of fast convergence speed, improved tracking efficiency and high efficiency

Inactive Publication Date: 2019-05-03
HEBEI UNIV OF TECH
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Problems solved by technology

Aiming at the power multi-peak characteristic of the photovoltaic array when it is partially shaded, the method uses the improved DCWQPSO algorithm to mutate the particle position and inertia weight of the DCWQPSO (dynamically changing weight's quantum-behaved particle swarm optimization) algorithm, and solves the problem of the DCWQPSO algorithm being difficult. The problem of getting stuck in a local extremum point

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  • Photovoltaic multimodal MPPT control method based on improved quantum particle swarm optimization
  • Photovoltaic multimodal MPPT control method based on improved quantum particle swarm optimization
  • Photovoltaic multimodal MPPT control method based on improved quantum particle swarm optimization

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Embodiment 1

[0059] In this embodiment, a photovoltaic multi-peak MPPT control method based on an improved quantum particle swarm algorithm is used. The flowchart is as follows figure 1 As shown, the specific implementation steps are as follows:

[0060] according to figure 2 The equivalent model diagram shown in the figure uses a dual diode model, with voltage and current as a reference, the output I-U characteristic equation can be expressed as:

[0061]

[0062]

[0063]

[0064] Where I ph Is the photocurrent; I 01 , I 02 Is the reverse saturation current of diodes D1 and D2; K is Boltzmann's constant (1.3805×10 -23 Nm / K); q is the charge constant (1.6×10 -19 C); A1 and A2 are the ideal constants of the two diodes; n s Is the number of battery panel components in series.

[0065] To improve the accuracy of the model, simplify the model:

[0066]

[0067] among them, p’=1+a 2 ≥2.2. I sc Represents the short-circuit current of the photovoltaic array, the subscript STC represents the standar...

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Abstract

The invention provides a photovoltaic multimodal MPPT control method based on improved quantum particle swarm optimization. The method comprises the steps that 1 a photovoltaic cell dual diode model is constructed; 2 improved DCWQPSO is initialized; 3 a photovoltaic controller collects current and voltage outputted by a photovoltaic array first, and the output power curve of the photovoltaic arrayis determined according to an objective function; improved DCWQPSO in step 2 is used to perform global search of the maximum power point on the output power curve, so as to search working current andworking voltage at the maximum power point; 4 an INC algorithm is used to locally track the working current and working voltage at the maximum power point in step 3, so that the actual output power of the photovoltaic array is stabilized near the maximum power point; and 5 the photovoltaic controller calculates PWM duty cycle at the maximum power point, and the duty cycle is output to a power switch through a PWM pulse signal module. The method has the advantages of fast convergence speed, good tracking quality and high efficiency.

Description

Technical field [0001] The invention belongs to the technical field of power systems, and relates to a photovoltaic multi-peak MPPT control method based on an improved quantum particle swarm algorithm. Background technique [0002] In recent years, solar photovoltaic power generation has developed rapidly and has become an indispensable part of my country's energy structure. In photovoltaic power generation systems, maximum power tracking technology (Maximum PowerPoint Tracking, MPPT) is generally used to ensure its operating efficiency. Therefore, maximum power tracking plays an important role in the improvement of photovoltaic conversion efficiency and has become one of the hot spots in current photovoltaic power generation system research. One. Traditional MPPT control methods, such as disturbance observation method, conductance increment method, etc., mainly study the photovoltaic array under the same external conditions, and the output power-voltage P-U characteristic curve...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05F1/66
Inventor 李志军张奕楠王丽娟贾学岩张雅雯
Owner HEBEI UNIV OF TECH
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