开发基于改进优化适应差导技术的最大功率点跟踪算法,用于可再生能源发电
Val Hyginus Udoka Eze1,2, Martin Chinweokwu Eze3, Samuel A Ugwu4
1Department of Publication and Extension Unit, Kampala International University, Uganda.
Heliyon
|January 27, 2025
概括
改进的优化自适应差电导 (IOADC) 算法显著提高了光伏 (PV) 系统的效率. 这种先进的最大功率点跟踪 (MPPT) 技术在现实条件下提高了20.21%的功率输出.
科学领域:
- 可再生能源系统可再生能源系统
- 光伏发电是光伏发电的发电方式之一.
- 电气工程 电气工程
背景情况:
- 光伏 (PV) 系统需要最大功率点跟踪 (MPPT) 以最大限度地将能量传输到负载.
- 现有的MPPT技术在不同的环境条件下可能无法完全优化输出功率.
- 模块和电流 (MSC) 和辐射和温度等环境因素显著影响光伏性能.
研究的目的:
- 开发和评估一个先进的MPPT算法,即改进的优化自适应差异导向 (IOADC).
- 评估IOADC算法的有效性,以提高光伏系统的发电和传输效率.
- 分析不同太阳辐射量,温度和模块和电流 (MSC) 对光伏输出功率的影响.
主要方法:
- 在单一二极管模型框架内使用Kirchhoff定律开发了IOADC算法.
- 在不同的太阳辐射 (500-1000 W/m2) 和温度 (250-350 K) 条件下评估算法性能.
- 使用MATLAB 2020b验证模拟和现实世界的性能,将IOADC与OADC和电压控制技术进行比较.
主要成果:
- 光伏模块阻抗随着辐射强度的增加而降低,而负载阻抗保持稳定.
- IOADC表现出卓越的性能,在750W/m2辐射下达到100.1739W,超过OADC和电压控制.
- IOADC算法在模拟中显示了15.82%的相对改善,在现实应用中显示了20.21%的相对改善.
结论:
- 在不同的环境条件下,IOADC算法在最大化光伏系统中的功率传输方面非常有效.
- 温度升高会增加模块和电流,降低光伏功率输出,这是IOADC有效管理的现象.
- IOADC在MPPT技术方面取得了重大进展,增强了模拟和现实世界的光伏能源采集.
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