A novel methodology for simulating maximum power point trackers using mine blast optimization and teaching learning based optimization algorithms for partially shaded photovoltaic system

被引:56
作者
Fathy, Ahmed [1 ]
Rezk, Hegazy [2 ]
机构
[1] Zagazig Univ, Fac Engn, Elect Power & Machine Dept, Zagazig, Egypt
[2] Minia Univ, Fac Engn, Dept Elect Engn, El Minia, Egypt
关键词
PV SYSTEM; MPPT CONTROLLER; TRACKING METHOD; ARRAY;
D O I
10.1063/1.4944971
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
When the photovoltaic (PV) system is fully illuminated, the voltage-power characteristic of the array has one maximum power point (MPP). This point can be tracked by conventional maximum power point tracker algorithms. On the other hand, in partially shaded PV, the voltage-power characteristic has only one global MPP (GMPP) and multiple local MPPs. It is important to operate the PV system at GMPP for achieving optimal operation. This paper presents the application of two novel meta-heuristic optimization algorithms to extract GMPP from the PV system under partial shading conditions: The mine blast algorithm (MBA) and the teaching learning based optimization algorithm (TLBO). A proposed constrained objective function representing the PV array output power is also presented. Different patterns of shadows that strike the PV array surface are studied. The studied patterns are uniform ones, changing from 0% to 375% with steps of 25%, and non-uniform patterns with different locations of GMPP. The obtained results from each algorithm are compared, and the results show that the MBA based tracker is more reliable, more efficient, and superior to TLBO. A comparison with fuzzy logic control and adaptive neuro-fuzzy and particle swarm optimization based trackers has been done. The results ensure that the reliability of the MBA in solving the problem is addressed. (C) 2016 AIP Publishing LLC.
引用
收藏
页数:16
相关论文
共 28 条
[1]   A critical evaluation on maximum power point tracking methods for partial shading in PV systems [J].
Ahmed, Jubaer ;
Salam, Zainal .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2015, 47 :933-953
[2]   A Maximum Power Point Tracking (MPPT) for PV system using Cuckoo Search with partial shading capability [J].
Ahmed, Jubaer ;
Salam, Zainal .
APPLIED ENERGY, 2014, 119 :118-130
[3]  
[Anonymous], EL MACH SYST ICEMS 2
[4]  
[Anonymous], IEEE J PHOTOVOLTAICS
[5]  
Besheer AH, 2012, 2012 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY (ICIT), P693, DOI 10.1109/ICIT.2012.6210019
[6]   A circuit-based photovoltaic array model for power system studies [J].
Campbell, Ryan C. .
2007 39TH NORTH AMERICAN POWER SYMPOSIUM, VOLS 1 AND 2, 2007, :97-101
[7]   An Improved MPPT Controller for Photovoltaic System Under Partial Shading Condition [J].
Chen, Kai ;
Tian, Shulin ;
Cheng, Yuhua ;
Bai, Libing .
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2014, 5 (03) :978-985
[8]   A Research and Improvement on a Maximum Power Point Tracking Method for PV System under Partially Shaded Conditions [J].
Cui, Yan ;
Yao, Wen ;
Luo, Jinzhao .
2012 INTERNATIONAL WORKSHOP ON INFORMATION AND ELECTRONICS ENGINEERING, 2012, 29 :2583-2589
[9]   A novel MPPT (maximum power point tracking) algorithm based on a modified genetic algorithm specialized on tracking the global maximum power point in photovoltaic systems affected by partial shading [J].
Daraban, Stefan ;
Petreus, Dorin ;
Morel, Cristina .
ENERGY, 2014, 74 :374-388