通过使用MRDT控制器,对各种太阳能光伏电池参数进行新的最佳识别
Sunkara Sunil Kumar1, K Balakrishna2
1Vignan's Foundation for Science Technology and Research, Vadlamudi, India.
Scientific reports
|May 7, 2024
概括
精确的太阳能发电依赖于精确的光伏 (PV) 电池参数提取. 一种新的基于Rao的修改二分法技术 (MRAODT) 有效地识别了PV细胞参数,优于其他算法.
科学领域:
- 可再生能源系统可再生能源系统
- 光伏电池建模 太阳能电池建模
背景情况:
- 越来越多地依赖可再生能源 (RES),需要高效的太阳能发电.
- 精确的参数提取对于优化太阳能供应和满足峰值需求至关重要.
研究的目的:
- 为准确的光伏 (PV) 电池参数识别引入一种基于Rao的修改二分法技术 (MRAODT).
- 评估MRAODT的性能与PV参数提取现有的算法相比.
主要方法:
- 修改的基于Rao的二分法技术 (MRAODT) 是为了确定PWP 201多晶和RTC France PV电池的实际参数而开发的.
- MRAODT的性能与教学和学习算法,非洲算法和金枪鱼智能算法进行了基准测试.
主要成果:
- 与评估的算法相比,MRAODT在光伏电池参数识别方面表现优越.
- MRAODT实现了更快的参数提取时间和更快的融合,提高了准确性.
结论:
- 基于Rao的修改二分法技术 (MRAODT) 为光伏电池的参数提取提供了一个高度准确和高效的方法.
- MRAODT为优化太阳能发电系统提供了重大进展.
关键词:
基于2-Didoes的太阳能电池基于3-二极管的太阳能电池准确度 准确度 准确度 准确度 准确度收率是指收率的一致率.这种二分法 (dichotomy) 是不同的.再加上修改过的Rao技术.在RMSE中,它是RMSE.单一二极管单元的电池是一个二极管.更多相关视频
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