Photovoltaic maximum power point tracking method, system and device based on IPSO

Through the photovoltaic maximum power point tracking method based on IPSO, the particle swarm algorithm is used to track the global maximum power point of the photovoltaic system in real time, which solves the accuracy and efficiency problems of the photovoltaic power generation system under the influence of external factors and achieves more efficient power generation control.

CN118760303BActive Publication Date: 2025-09-23GUANGZHOU MARINE GEOLOGICAL SURVEY
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Patent Information

Application Number
CN202410913229.8
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-07-09
Publication Date
2025-09-23
Estimated Expiration
2044-07-09

AI Technical Summary

Technical Problem

Photovoltaic power generation systems are easily affected by external factors in outdoor environments such as islands, resulting in inaccurate output multi-peak power characteristic curves and the inability to accurately find the global maximum power point, affecting power generation efficiency.

Method used

The IPSO-based photovoltaic maximum power point tracking method is adopted. By taking the duty cycle as the particle individual, the particle swarm size, position and velocity of the particle swarm algorithm are initialized, and the particle position and velocity are updated using the fitness parameter. The global maximum power point is tracked in real time, and the algorithm is readjusted when the power changes.

Benefits of technology

The maximum power point accuracy and control response speed of the photovoltaic system are improved, ensuring that the photovoltaic system maintains efficient operation in different environments.

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Abstract

This application discloses a method, system, device, and medium for photovoltaic maximum power tracking based on IPSO. The method includes the following steps: using the duty cycle as an individual particle; initializing the particle swarm algorithm's particle swarm population size, the original particle position, and the original particle velocity of each particle; determining the fitness parameter of each particle in the particle swarm based on the original particle position, original particle velocity, and a preset function; determining the current maximum output power corresponding to any particle based on the fitness parameter; updating the original particle position and original particle velocity of each particle based on the fitness parameter, and returning to the step of calculating the fitness parameter of each particle in the particle swarm based on the original particle position, original particle velocity, and a preset function; and when a stop loop condition is met, determining the current maximum output power of each particle obtained in the last loop as the global maximum power. This application can be widely applied in the field of photovoltaic system control technology.
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Citation Information

Patent Citations

  • Particle swarm optimization based control method and device of photovoltaic maximum power point tracking

    CN106444956A

  • Photovoltaic cell multiple-peak maximum power tracing method and system based on particle swarm

    CN109814651A