Glowworm Swarm Optimization for Photovoltaic Model Identification

被引：0

作者：

Nunes, Hugo ^{[1
]}

Pombo, Jose

Fermeiro, Joao

Mariano, Silvio

Calado, Maria do Rosario

机构：

[1] Univ Beira Interior, Covilha, Portugal

来源：

2017 INTERNATIONAL YOUNG ENGINEERS FORUM (YEF-ECE) | 2017年

关键词：

Glowworm Swarm Optimization; Photovoltaic module; Modelling; Simulation; NUMERICAL-CALCULATION; SERIES;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents a new algorithm for finding the parameters that characterize a photovoltaic panel by using the Glowworm Swarm Optimization algorithm. This new algorithm shows great simplicity, flexibility and precision, being able to precisely locate the global optimum point or multiple global optimum points, independently of the initial conditions. The approach here adopted allows the utilization of the algorithm in several existing models to characterize a photovoltaic panel in the current literature.

引用

页码：59 / 64

页数：6

共 28 条

[1]

Anderson A. J., 1996, PHOTOVOLTAIC TRANSLA, P604

[2]

[Anonymous], THESIS

[3]

Balzani M., 2005, 2005 PhD Research in Microelectronics and Electronics (IEEE Cat. No.05EX1148), P123

[4] EXTRAPOLATION OF OUTDOOR MEASUREMENTS OF PV ARRAY IV CHARACTERISTICS TO STANDARD TEST CONDITIONS [J].