Extraction of photovoltaic module model's parameters using an improved hybrid differential evolution/electromagnetism-like algorithm

被引:63
作者
Muhsen, Dhiaa Halboot [1 ,2 ]
Ghazali, Abu Bakar [1 ]
Khatib, Tamer [3 ]
Abed, Issa Ahmed [4 ]
机构
[1] Univ Tenaga Nas, Dept EC Engn, Selangor, Malaysia
[2] Univ Al Mustansiriyah, Dept Comp & Software Engn, Baghdad, Iraq
[3] An Najah Natl Univ, Dept Energy Engn & Environm, IL-97300 Nablus, Israel
[4] Southern Tech Univ, Engn Tech Coll Basrah, Basrah, Iraq
关键词
Modeling of photovoltaic module; Five parameters model; DEAM; Evolutionary algorithm; I-V characteristic; GLOBAL OPTIMIZATION; SINGLE-DIODE; SOLAR-CELLS; PV PANEL; EVOLUTION; PERFORMANCE; ENERGY; SIMULATION; GENERATION; SYSTEMS;
D O I
10.1016/j.solener.2015.07.008
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
In this paper, an improved differential evolution with adaptive mutation per iteration algorithm (DEAM) is proposed for extracting PV module's model parameters. DEAM utilizes the attraction repulsion concept which is used in the electromagnetism to boost the mutation operation of the original differential evolution (DE). Furthermore, a new formula to adjust the mutation scaling factor and crossover rate for each generation is proposed. The proposed method has been validated by experimental data and other previous methods. The results of the proposed method show a high agreement between the experimental and simulated I-V characteristics. The average root mean square error, mean bias error, coefficient of determination and CPU-execution time of the proposed method are 1.744%, 0.158%, 99.21% and 18.5975 s respectively. According to the results, the proposed method offers better performance than other methods in terms of accuracy, CPU-execution time and convergence. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:286 / 297
页数:12
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