一个修改的扰动和观察MPPT算法用于PEMFC,具有快速收和低功率振荡
Resat Celikel1, Omur Aydogmus1, Musa Yilmaz2,3
1Department of Mechatronics Engineering, Firat University, 23200, Elazig, Turkey.
Scientific reports
|July 30, 2025
概括
本研究引入了修改后的扰乱和观察 (P&O) 算法,以在质子交换膜燃料电池 (PEMFC) 中实现更快,更稳定的最大功率点跟踪 (MPPT). 与现有技术相比,新方法在不断变化的条件下提高了效率.
科学领域:
- 能源转化和储存 能源转化和储存
- 可再生能源系统可再生能源系统
- 电化学工程 电化学工程
背景情况:
- 质子交换膜燃料电池 (PEMFCs) 由于的储存能力,可以提供持续的能源生产.
- 从PEMFC中提取最大功率需要高效的最大功率点跟踪 (MPPT) 算法.
- 现有的智能MPPT方法往往受到高计算复杂性的困扰.
研究的目的:
- 为PEMFCs开发一个修改的基于Perturb and Observe (P&O) 的MPPT算法.
- 为了实现快速稳定状态响应,并在不同的操作条件下最大限度地减少功率振荡.
- 提高PEMFC应用的MPPT的效率和简单性.
主要方法:
- 开发一个修改的扰乱和观察 (P&O) 算法.
- 在五个不同的场景下,在MATLAB/Simulink环境中进行性能评估.
- 与传统的P&O,粒子集群优化 (PSO),子搜索算法 (CSA) 和遗传算法 (GA) 相比进行比较分析.
主要成果:
- 与传统方法相比,拟修改的P&O算法显示出更快的稳定状态响应.
- 在稳定状态下,使用开发的算法观察到最小化的功率振荡.
- 图形结果证实了拟议的MPPT方法相对于现有的基于优化技术的优势.
结论:
- 经过修改的P&O MPPT算法为PEMFC中高效的电力提取提供了卓越的解决方案.
- 该算法提供了跟踪速度,稳定状态稳定性和计算简单性之间的平衡.
- 这种方法适用于需要在动态条件下强大的MPPT性能的实时应用.
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