通过新型混合MPPT技术在可变大气条件下提高联网光伏系统的性能
Layachi Zaghba1, Abdelhalim Borni1, Messaouda Khennane Benbitour1
1Centre de Développement des Energies Renouvelables, CDER, Unité de Recherche Appliquée en Energies Renouvelables, URAER, 47133, Ghardaïa, Algeria.
Scientific reports
|April 8, 2024
概括
本研究介绍了光伏系统的混合模糊逻辑和滑动模式控制. 这种创新方法在变化的大气条件下提高了效率和可靠性,优于传统方法.
科学领域:
- 可再生能源系统可再生能源系统
- 控制理论 控制理论
- 电力电子 电力电子 电力电子
背景情况:
- 连接到电网的光伏 (PV) 系统面临性能挑战,原因是大气条件变化.
- 传统的控制方法与不准确的数据和动态的环境变化作斗争,降低光伏系统的效率和可靠性.
研究的目的:
- 为联网光伏系统提出和评估一种创新的混合控制方法.
- 通过使用综合控制策略,在变化的大气条件下提高光伏系统的性能和可靠性.
主要方法:
- 整合模糊逻辑来处理不确定的大气数据和滑动模式控制以获得稳定性.
- 粒子群优化 (PSO) 和基因算法 (GA) 的应用,用于调整电网侧的比例整合 (PI) 电流控制器.
- 使用MATLAB Simulink进行模拟,以验证拟议的混合最大功率点跟踪 (MPPT) 技术.
主要成果:
- 混合MPPT技术实现了卓越的跟踪效率 (99.86%) 与快速收时间 (0.06秒).
- 与经典的MPPT方法相比,证明了增强的稳定性和更快的响应动态变化.
- 总电流波扭曲 (THD) 值在低压网络的可接受范围内 (PSO为8.33%,GA为10.63%).
结论:
- 拟议的混合控制方法显著提高了联网光伏系统的性能和可靠性.
- 模糊逻辑和滑动模式控制的整合为管理大气变化提供了强大的解决方案.
- PSO和GA有效调整电网侧电流控制器,优化整体系统运行.
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