检索结果-南通市图书馆

Comparative Analysis between single diode and Double diode model of PV Cell: Concentrate Different Parameters Effect on Its Efficiency

引用

Journal of Power and Energy Engineering 2016年第3期4卷 31-46页

作者： Tanvir Ahmad Sharmin Sobhan Md. Faysal Nayan Department of Electrical and Electronic Engineering Ahsanullah University of Science and Technology Dhaka Bangladesh

This research appraises comparative analysis between single diode and double diode model of photovoltaic (PV) solar cells to enhance the conversion efficiency of power engendering PV solar systems. single diode model is simple and easy to implement, whereas double diode model has better accuracy which acquiesces for more precise forecast of PV systems performance. Exploration is done on the basis of simulation results and MATLAB tool is used to serve this purpose. Simulations are performed by varying distinct model parameters such as solar irradiance, temperature, value of parasitic resistances, ideality factor of diode and number of series and parallel connected solar cells used to assemble PV array. Conspicuous demonstration is executed to analyze effects of these specifications on the efficiency curve and power vs. voltage output characteristics of PV cell for specified models.

关键词： Photovoltaic Cell single diode model Double diode model Efficiency Simulation

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Improved artificial neural network method for predicting photovoltaic output performance

引用

Global Energy Interconnection 2020年第6期3卷 553-561页

作者： Siyi Wang Yunpeng Zhang Chen Zhang Ming Yang School of Electrical Engineering Shandong UniversityJingshi StreetJinan 250061China University of California Los AngelesWestwoodLos AngelesCA 90095U.S.A.

To ensure the safety and stability of power grids with photovoltaic(PV)gen eration integrati on,it is necessary to predict the output perform a nee of PV modules un der varyi ng operating con *** this paper,an improved artificial neural network(ANN)method is proposed to predict the electrical characteristics of a PV module by combining several neural networks under different environmental *** study the dependenee of the output performance on the solar irradianee and temperature,the proposed neural network model is composed of four neural networks,it called multineural network(MANN).Each neural network consists of three layers,in which the input is solar radiation,and the module temperature and output are five physical parameters of the single diode *** experimental data were divided into four groups and used for training the neural *** electrical properties of PV modules,including l-V curves,PV curves,and normalized root mean square error,were obtained and *** effectiveness and accuracy of this method is verified by the experimental data for d iff ere nt types of PV *** with the traditional single-ANN(SANN)method,the proposed method shows be社er accuracy under different operating conditions.

关键词： Artificial neural network single diode model Photovoltaics Energy prediction

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：