改进海洋捕食者算法的光储系统MPPT控制策略

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中图分类号：TB9;TM615 文献标志码：A 文章编号：1674-5124（2025）09-0148-10

Abstract： To address the multi-peak output characteristics of photovoltaic （PV） power generation systems under varying light conditions—where conventional maximum power point tracking （MPPT） algorithms are prone to local optima and fail to balance rapidity and stability—an improved Marine Predators Algorithm （MPA） is proposed as an MPPT control strategy for PV energy storage systems.First， chaotic mapping is employed to initialize the populationand enhance its diversity.Then，arestart mechanism is introduced to enable the algorithm to retrack the global maximum power point when significant changes in external light are detected. Finally，an adaptive variable step-size perturb and observe method is incorporated to reduce power fluctuation and improve tracking accuracy. To validate the superiority of the proposed algorithm， simulations and tests of the PV energy storage system were conducted in Matlab/Simulink.Experimental results show that under static conditions， the improved algorithm reduces tracking time by 72.7% 62.5% and 50% ， respectively， compared to three existing algorithms. When light intensity changes，the tracking efficiency reaches 99.99% The results demonstrate that the improved algorithm ofers faster and more efcient tracking performance than the other three algorithms.

Keywords： photovoltaic system; maximum photovoltaic power tracking; local shading; marine predator algorithm

0 引言

随着近几年双碳目标的提出，社会对可持续能源的需求显著增加，可持续能源被列为最受欢迎和最广泛使用的选择之一。（剩余13013字）