一种光伏组件健康状况的动态评估方法

陈瀚宇; 李智华; 汪飞; 易苑; 伍楠

doi:doi:10.19912/j.0254-0096.tynxb.2024-2237

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一种光伏组件健康状况的动态评估方法

更新时间：2026-07-22

- 一种光伏组件健康状况的动态评估方法
- Vol. 47, Issue 4, Pages: 719-728(2026)
- 作者机构：
- 作者简介：
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- DOI：doi:10.19912/j.0254-0096.tynxb.2024-2237
  CLC： TM615
- Online First：08 May 2026，
  
  Published：2026
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陈瀚宇, 李智华, 汪飞, et al. 一种光伏组件健康状况的动态评估方法[J]. 2026, 47(4): 719-728.
DOI：

陈瀚宇, 李智华, 汪飞, et al. 一种光伏组件健康状况的动态评估方法[J]. 2026, 47(4): 719-728. DOI： doi:10.19912/j.0254-0096.tynxb.2024-2237.

摘要

针对光伏组件健康状态的评估问题

提出一种基于健康指标动态阈值选取和动态权重调整机制的评估方法。将组件光生电流Iph、等效串联电阻Rs和等效并联电阻Rp作为健康参数

基于组件I-V曲线、利用蜣螂算法进行健康参数辨识。结合组件出厂标准和服役年限

建立光伏组件动态健康模型。引入动态权重调整机制

确保准确识别低权重参数表征的故障。仿真和实验结果证明

所提出的方法能够较好地评估光伏组件的健康状况

并对静态权重方法下评估错误的故障信息进行有效诊断。

Abstract

To address the need of state estimation for photovoltaic （PV） module health

a method based on dynamic threshold selection and dynamic weight adjustment mechanism for health indicators is proposed. The photogenerated current

equivalent series resistance

and equivalent parallel resistance are taken as health parameters

and they are extracted using the dung beetle algorithm based on the I-V curve of the module. A dynamic health model is developed by integrating factory standards and operational aging effects. A dynamic weight adjustment mechanism is introduced to ensure accurate identification of faults characterized by low-weight parameters. Simulations and experiments confirm that the proposed method improves state estimation reliability compared to static weight approaches

enabling precise identification of misdiagnosed faults.

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references

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