Photovoltaic maximum power point tracking control method based on enhanced salmons swarm optimization algorithm

By adopting the ESCSO-based maximum power point tracking control method in the photovoltaic system, the problem that traditional MPPT technology is easily trapped in local optimal under occlusion conditions is solved, and the global maximum power point of the photovoltaic array is quickly and accurately tracked, improving the energy conversion efficiency of the system.

CN119690197APending Publication Date: 2025-03-25TIANJIN UNIV
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Patent Information

Application Number
CN202411873501.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-18
Publication Date
2025-03-25

AI Technical Summary

Technical Problem

When the photovoltaic array is blocked by buildings, clouds, etc., traditional MPPT technology is prone to fall into local optimality and cannot effectively track the global maximum power point of the photovoltaic array.

Method used

The ESCSO-based photovoltaic maximum power point tracking control method is adopted, and the improved Sandmacao group optimization algorithm is used to shrink the tracking range to the vicinity of the global maximum power point through the rapid positioning stage, and then gradually find the optimization using the variable step conductance increment method in the precise tracking stage to ensure that the global maximum power point is tracked.

Benefits of technology

It improves the speed and accuracy of maximum power point tracking of photovoltaic systems under occlusion conditions, avoids local optimal traps, and achieves higher and more stable photovoltaic output power.

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Abstract

The invention discloses a photovoltaic maximum power point tracking control method based on an enhanced Sabot swarm optimization algorithm, and aims to solve the problems that a plurality of extreme points appear on an output characteristic P-V curve of a photovoltaic array when the photovoltaic array is shielded by buildings, clouds and the like, and a traditional MPPT algorithm is easy to fall into local optimum. The method mainly comprises a rapid positioning stage and an accurate tracking stage, in the rapid positioning stage, the tracking range of the output power of a photovoltaic array in the distributed photovoltaic power generation system is contracted to be near the global MPP of a multi-peak power-voltage characteristic curve output by the photovoltaic array by adopting ISCSO; a P-V characteristic curve output by the photovoltaic array in the contraction range shows a single-peak characteristic; in the accurate tracking stage, variable step size INC is adopted to gradually optimize in a P-V characteristic curve output by the photovoltaic array presenting the unimodal characteristic after rapid positioning so as to obtain higher and more stable photovoltaic output power. By applying the technical scheme, the rapidity and accuracy of tracking the maximum power point by the system can be improved.
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