.png){kind=icon}
返回
PV cell and module efficient parameters estimation using Evaporation Rate based Water Cycle Algorithm
.png){kind=icon}
PRE
AI
DOI：10.1016/j.swevo.2017.02.005.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In order to carry out precise performance investigations and control studies on photovoltaic (PV) systems, an accurate model is always desired. In this work, a new and powerful metaheuristic optimization technique known as Evaporation Rate based Water Cycle Algorithm (ER-WCA) has been explored for effective parameters estimation of PV cell/module. Single and double diode based models of PV cell and single diode based model of PV module have been successfully identified from their respective single I-V non-linear characteristics and the modeling performance of ER-WCA, assessed in terms of root mean square error, mean absolute error and mean relative error, between computed and experimental data, is found to be superior to the several recent prominent published works particularly the modeling of a single diode based PV module. Furthermore, the PV module modeling capability of ER-WCA under varying temperature and irradiation conditions is also analysed and it is found to be effective, proving its practical applications. Based on the presented detailed investigation, it is concluded that ER-WCA is a promising optimization technique for PV cell/module identification.
Keyword:
Parameter estimation
Solar cells and modules
Single diode model
Double diode model
Evaporation Rate based Water Cycle Algorithm
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
8.5
论文数:
2.2K
被引数:
1.0W
机构
引用论文
Identification of PV solar cells and modules parameters using the genetic algorithms: Application to maximum power extraction使用遗传算法识别光伏太阳能电池和组件参数: 在最大功率提取中的应用.png)
SOLAR ENERGY
SOLAR ENERGYIF6.6
PREAI
分享收藏Simulated Annealing algorithm for photovoltaic parameters identification基于模拟退火算法的光伏参数辨识SOLAR ENERGY
SOLAR ENERGYIF6.6
PREAI
分享收藏An improved modeling method to determine the model parameters of photovoltaic (PV) modules using differential evolution (DE)SOLAR ENERGY
SOLAR ENERGYIF6.6
PREAI
分享收藏Parameter identification for solar cell models using harmony search-based algorithmsSOLAR ENERGY
SOLAR ENERGYIF6.6
PREAI
分享收藏
查看更多内容