Comparative Parameter Estimation of Single Diode PV-Cell Model by Using Sine-Cosine Algorithm and Whale Optimization Algorithm

被引:17
作者
Aydin, Omer [1 ]
Gozde, Haluk [2 ]
Dursun, Mahir [1 ]
Taplamacioglu, M. Cengiz [1 ]
机构
[1] Gazi Univ, Fac Engn, Dept Elect & Elect Engn, Ankara, Turkey
[2] Natl Def Univ, Turkish Mil Acad, Elect & Commun Engn Dept, Ankara, Turkey
来源
2019 6TH INTERNATIONAL CONFERENCE ON ELECTRICAL AND ELECTRONICS ENGINEERING (ICEEE 2019) | 2019年
关键词
photovoltaic cells; whale optimization algorithm; sine-cosine algorithm; parameter estimation; SOLAR-CELLS; IDENTIFICATION; EXTRACTION;
D O I
10.1109/ICEEE2019.2019.00020
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
The share of photovoltaic energy systems in electricity production is increasing day by day. Photovoltaic systems are typically modeled as PV-cell circuit when using in power system analysis. The selection of the parameters used in the model is crucial because how close the model outputs are to reality depends on true estimation of these parameters. These parameters are also important for efficiency and maximum power tracking. Due to the increase in electricity generation with solar energy, the problem of estimation of these parameters has become a widely studied subject in recent years. In this study, the parameters of PV-cell are estimated using Whale Optimization Algorithm (WOA) and Sine-Cosine Algorithm (SCA) and compared with the related literature.
引用
收藏
页码:65 / 68
页数:4
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