针对农村交流微电网的新型弹性太阳能光伏发电提取策略,基于增强增量导电性的MPPT
Parthiban Shanmugam1, M Mohammadha Hussaini2, Vanchinathan Kumarasamy3
1Department of Electronics Communication Engineering, Nandha College of Technology, Erode, Tamil Nadu, India.
Scientific reports
|November 25, 2025
概括
本研究介绍了用于太阳能光伏 (PV) 系统的增强增量导电 (EIC) 算法. 通过EIC方法,最大功率点跟踪 (MPPT) 的效率提高了15%,并加快了22%的融合速度.
科学领域:
- 可再生能源系统可再生能源系统
- 电力电子 电力电子 电力电子
- 控制系统 控制系统
背景情况:
- 发展中国家的农村电气化需要可靠和高效的电源.
- 太阳能光伏 (PV) 系统提供了一个可持续的解决方案,但需要高效的能源转换.
- 在不同的环境条件下,最大限度地利用光伏电池板收集的能量至关重要.
研究的目的:
- 概念化,评估和实施一个由太阳能光伏供电的互联交流电网架构,用于农村电气化.
- 开发和介绍一种新的最大功率点跟踪 (MPPT) 技术,以提高光伏系统的效率.
- 为了应对在快速变化的辐射水平下最大功率点 (MPP) 差异的挑战.
主要方法:
- 使用Matlab/Simulink.使用互连的交流电网架构的概念化和模拟.
- 为MPPT开发一个增强的增量行为算法 (EICA).
- 使用DC-DC Boost转换器与EICA连接光伏系统与负载,调整工作周期以实现最佳功率传输.
主要成果:
- 基于EIC的MPPT在各种操作条件下展示了最佳的光伏最大功率监控.
- 由于精确的MPPT,实现了22%更快的融合和15%的光伏系统效率提高.
- 使用EIC控制器观察到较低的总波扭曲 (THD) 值,模拟VTHD/ITHD为13.15%/12.31%,硬件为14.52%/13.55%.
结论:
- 提出的EIC方法有效地提高了MPPT的性能,从而大大提高了光伏系统的效率和可靠性.
- 开发的由太阳能光伏供电的交流电网架构是农村电气化的可行解决方案.
- 在动态环境变化下,EIC算法提供了一种强大而准确的方法,用于从光伏系统中提取最大功率.
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