基于局部遮阴下改进复合算法的光伏最大功率追踪
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1.东北石油大学电气信息工程学院 大庆;2.中油电能电力技术服务公司脱硫分公司 大庆

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TM615

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国家自然科学(62203106)


Photovoltaic maximum power tracking based on improved composite algorithm under local shade
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1.Northeast Petroleum University,Electrical Information Engineering College;2.Desulfurization Branch,petrochina Electric Power Technical Service Company

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    摘要:

    为解决光伏发电局部遮阴中最大功率点(maximum power point,MPP)难以准确快速追踪的问题,本文提出一种基于莱维飞行的蝗虫优化算法(grasshopper optimization algorithm,GOA)与扰动观测法(particle swarm optimization,P&O)相结合的控制方法。蝗虫优化算法结合了莱维飞行和蝗虫的行为规则,使得算法具有较好的收敛性,能够快速找到最优解。当改进GOA搜寻到光伏发电的最大功率点附近时,可实现P&O的迅速切换,光伏发电的效率得到有效提升。为测试所提复合光伏寻优算法追踪能力的优越性,通过 Simulink 中进行静态与动态局部遮阴下光伏储能仿真分析,并与参考文献所提算法进行对比,研究结果显示本文所提复合算法有效弥补传统光伏 MPPT 算法易陷入局部最优解、收敛速度缓慢等缺点且在光储系统中具有应用价值。

    Abstract:

    To address the issue of difficult and accurate tracking of the maximum power point (MPP) under partial shading in photovoltaic power generation, a control method combining grasshopper optimization algorithm (GOA) based on Levy flight and perturbation observation method (particle swarm optimization, P&O) is proposed in this study. The grasshopper optimization algorithm combines Levy flight and grasshopper behavior rules, allowing the algorithm to have good convergence and quickly find the optimal solution. When the improved GOA searches near the maximum power point of photovoltaic power generation, rapid switching of P&O can be achieved, effectively improving the efficiency of photovoltaic power generation. To test the superior tracking capability of the composite photovoltaic optimization algorithm proposed in this study, static and dynamic shading simulations of photovoltaic energy storage are carried out in Simulink, and compared with algorithms proposed in literature. The research results demonstrate that the composite algorithm proposed in this study effectively addresses the shortcomings of traditional photovoltaic MPP algorithms, such as easily getting stuck in local optimal solutions and slow convergence speed, and has practical value in photovoltaic storage systems.

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赵付佳,王士勇,王金玉. 基于局部遮阴下改进复合算法的光伏最大功率追踪[J]. 科学技术与工程, , ():

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  • 收稿日期:2023-11-27
  • 最后修改日期:2024-06-07
  • 录用日期:2024-06-24
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