一个有效的基于数据表的太阳能光伏的参数估计技术
K M Charu1,2, Padmanabh Thakur1, Nikita Rawat1
1Department of Electrical Engineering, Graphic Era (Deemed to be University), Dehradun, 248002, Uttarakhand, India.
Scientific reports
|March 19, 2024
概括
本研究介绍了一种高效的太阳能光伏 (PV) 参数估计技术,使用制造商数据表. 使用粒子优化 (PSO) 开发的方法提供了精确而快速的光伏模型参数估计.
科学领域:
- 可再生能源可再生能源是可再生能源.
- 电气工程 电气工程
- 计算方法 计算方法
背景情况:
- 精确的太阳能光伏 (PV) 模型参数估计对于性能分析和电网集成至关重要.
- 现有的方法往往需要大量的数据或复杂的程序,这限制了它们的实际应用.
研究的目的:
- 为太阳能光伏模型开发一种高效和精确的参数估计技术,仅使用制造商数据表信息.
- 为了比较粒子集群优化 (PSO) 和和搜索 (HS) 对这个参数估计任务的性能.
主要方法:
- 使用制造商数据表变量制定了一个非线性最小平方目标函数.
- 应用了粒子集群优化 (PSO) 和和搜索 (HS) 算法来优化目标函数.
- 性能指数,包括百分比最大功率偏差指数 (%MPDI) 和整体模型偏差指数 (OMDI),用于评估.
主要成果:
- 使用PSO开发的技术在HS上表现出优异的性能,MPDI的%达到0.0214%,OMDI为0.213.
- 对比分析显示,基于公共服务的方法比现有方法产生了较小的MPDI (0.0041%) 和OMDI (0.005%).
- 该技术表现出快速收,仅在5秒内完成估计,并且需要最小的数据.
结论:
- 拟议的参数估计技术,利用制造商数据表和PSO,是非常高效,准确和快速的.
- 这种数据效率高的方法简化了获得精确太阳能光伏模型参数的过程,提高了它们的实际实用性.
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