适应性RAO组合二分法技术用于精确的太阳能光伏系统参数提取
P Ashwini Kumari1, C H Hussaian Basha2, Fini Fathima3
1School of Electrical and Electronics Engineering, Reva University, Bangalore, India.
Scientific reports
|June 5, 2024
概括
适应式罗二分法 (ARDM) 为光伏 (PV) 模型参数提取提供了卓越的性能. 这种新方法实现了高精度和效率,优于光伏系统优化的其他优化技术.
科学领域:
- 可再生能源工程可再生能源工程
- 计算智能是一种计算智能.
- 优化算法 优化算法
背景情况:
- 光伏 (PV) 模型参数提取是一个复杂的非线性优化问题.
- 精确的参数估计对于提高光伏系统效率和性能至关重要.
- 现有的优化技术在解决光伏参数提取的多模型复杂性方面面临挑战.
研究的目的:
- 引入一种新的优化方法,即适应式罗二分法 (ARDM),用于PV模型参数提取.
- 与最近的优化算法相比,评估ARDM的有效性和优势.
- 通过使用制造商数据表信息,对已建立的光伏模型验证ARDM的性能.
主要方法:
- 开发和实施自适应罗二分法 (ARDM) 方法.
- 对ARDM与金枪鱼群优化器,非洲的优化器和基于教学学习的优化器进行比较分析.
- 实验验证使用RTC France和PWP 201多晶光伏模型,并提供数据表.
主要成果:
- 对于各种光伏模型,ARDM在参数提取方面表现出卓越的性能.
- 统计分析证实了ARDM在竞争优化技术方面的优势.
- 模拟结果表明ARDM的处理速度快,趋同稳定,准确度高.
结论:
- 适应式罗二分法 (ARDM) 是用于PV模型参数提取的高效和准确的技术.
- 与现有方法相比,ARDM在效率和融合方面提供了显著的改进.
- 通过精确的参数估计,ARDM为优化光伏系统性能提供了强大的解决方案.
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