光伏模块的最大功率点跟踪基于粒子集群优化,并使用准牛顿方法进行增强
Montaser Abdelsattar1, Hamdi Ali Mohamed2, Mohamed A Ismeil3
1Electrical Engineering Department, Faculty of Engineering, South Valley University, Qena, Egypt.
PloS one
|July 10, 2025
概括
本研究介绍了一种增强的粒子优化 (PSO) 技术,用于光伏系统中的最大功率点跟踪 (MPPT). 这种新方法提高了电源质量和跟踪速度,以高效地提取太阳能.
科学领域:
- 可再生能源系统可再生能源系统
- 电气工程 电气工程
- 控制系统 控制系统
背景情况:
- 光伏 (PV) 系统需要高效的最大功率点跟踪 (MPPT) 以获得最佳性能.
- 现有的MPPT算法在不同条件下平衡跟踪速度和准确性时面临挑战.
研究的目的:
- 开发一种新的MPPT技术,提高功率质量并最大限度地减少振荡.
- 为了提高太阳能模块中最大功率点 (MPP) 追踪的准确性和速度.
主要方法:
- 利用粒子群优化 (PSO) 实现其探测能力.
- 整合准牛顿 (QN) 局部搜索来完善PSO算法以获得最佳的MPP调.
- 将拟议的增强PSO算法与混合PSO-Perturb和观察 (P&O) 算法进行比较.
主要成果:
- 拟议的MPPT算法证明了MPP提取的高速响应和卓越效率.
- 增强的PSO与QN本地搜索有效地改善了电源质量并减少了振荡.
- 在不同的操作条件下,实现了与混合PSO-P&O算法的可比或优异的性能.
结论:
- 增强的PSO技术为光伏系统中准确和快速的MPPT提供了强大的解决方案.
- 这种方法有效地平衡了高精度和快速跟踪速度,提高了光伏系统的整体效率.
- 整合近牛顿局部搜索显著优化了最大功率点 (MPP) 的调整.
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