An Improved Technique for Predicting Characteristics of Two-diode Based PV Model

被引:8
作者
Sangeetha, R. S. [1 ]
Jayan, M., V [2 ]
Pradish, M. [3 ]
机构
[1] Cent Power Res Inst, CV Raman Rd, Bangalore 560080, Karnataka, India
[2] Govt Engn Coll Thrissur, Elect Dept, Ramavarmapuram Engn Coll PO, Trichur 680009, Kerala, India
[3] Cent Power Res Inst, CV Raman Rd, Bangalore 560080, Karnataka, India
来源
FIRST INTERNATIONAL CONFERENCE ON POWER ENGINEERING COMPUTING AND CONTROL (PECCON-2017 ) | 2017年 / 117卷
关键词
PV module; Two diode approach; Prediction of PV characteristics; NLP; SIMULATION; SYSTEM;
D O I
10.1016/j.egypro.2017.05.205
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents an improved technique for unknown parameter estimation and electrical performance characteristic prediction of photo voltaic (PV) module. Accurate PV modeling is necessary for analyzing the performance of solar system, inverter design, studying of PV characteristics etc. The aim of this work is to develop two algorithms for two-diode based PV model. First algorithm is for estimating the seven unknown parameters and second one is for predicting the electrical performance at different operating conditions. Prediction of PV module characteristics depends on the accuracy of computed parameters. In order to compute parameters, algorithms are developed by considering all the factors associated with PV model. In this work, to show the effectiveness of two algorithms a comparative study between proposed technique and existing method has been carried out and the result demonstrate that proposed technique gives solutions which are very close to the experimental values at different operating conditions. (C) 2017 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:870 / 877
页数:8
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