A novel MPPT design using generalized pattern search for partial shading
A novel MPPT design using generalized pattern search for partial shading
复制标题
使用广义模式搜索进行部分阴影的新型 MPPT 设计
DOI：
10.1016/j.enbuild.2016.09.054
复制
发表时间：
2016-12
影响因子：
6.7
通讯作者：
M. Majid Gulzar
中科院分区：
文献类型：
--
作者：
Ali Faisal Murtazab;Qiang Ling;Shahid Qamara;M. Majid Gulzar
提出了一种新的光伏系统最大功率点跟踪（MPPT）技术，特别是在部分阴影（PS）下。该技术基于广义模式搜索（GPS）优化算法。所提出的技术采用GPS算法，由于其主要特点，如简单的实施，导数自由的性质，快速收敛和高精度是非常适合处理PS条件。GPS的这些特性可以很好地解决以往MPPT技术存在的波动大、效率低、复杂度高、收敛速度慢等缺陷。为了比较，我们提出的MPPT算法，粒子群优化（PSO）算法和扰动和观察（P&O）算法已在MATLAB/Simulink中实现。比较结果表明，所提出的MPPT技术可以有效地检测到全局最大值（GM）在较少的电压样本数，这是近4倍，比PSO所需的电压样本数。此外，建议的MPPT的稳态效率为99.8%，这是高于其他MPPT技术。因此，所提出的技术区别于其他MPPT技术，由于其上级质量方面的收敛速度，动态和稳态效率和低复杂度。
This paper proposes a new Maximum Power Point Tracking (MPPT) technique for photovoltaic (PV) systems especially under Partial Shading (PS). This technique is based on Generalized Pattern Search (GPS) optimization algorithm. The proposed technique adopts the GPS algorithm owing to the reason that its major features like simple implementation, derivative free nature, fast convergence and high accuracy are ideally suited to deal with PS conditions. Furthermore, these features of GPS can well resolve the limitations and drawbacks of previous MPPT techniques, such as fluctuation, low efficiency, high complexity and slow convergence. For comparison, our proposed MPPT algorithm, the Particle Swarm Optimization (PSO) algorithm and the Perturb and Observe (P&O) algorithm have been implemented in MATLAB/Simulink. The comparison results demonstrate that the proposed MPPT technique can efficiently detect the global maximum (GM) in a fewer number of voltage samples, which is nearly 4 times less than the number of voltage samples required by PSO. Moreover, the steady state efficiency of the proposed MPPT is 99.8%, which is higher than the other MPPT techniques. Therefore, the proposed technique distinguishes itself from other MPPT techniques due to its superior quality in terms of convergence speed, dynamic and steady state efficiencies and low complexity.
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DOI：
10.1109/inmic.2013.6731328
发表时间：
2013-12
期刊：
INMIC
影响因子：
--
作者：
Ali Faisal Murtaza;H. A. Sher;M. Chiaberge;D. Boero;M. De Giuseppe;K. E. Addoweesh
通讯作者：
Ali Faisal Murtaza;H. A. Sher;M. Chiaberge;D. Boero;M. De Giuseppe;K. E. Addoweesh
影响因子：
6.7
作者：
Spertino, Filippo;Ahmad, Jawad;Chiaberge, Marcello
通讯作者：
Chiaberge, Marcello
影响因子：
15.9
作者：
A. Amjad;Z. Salam
通讯作者：
A. Amjad;Z. Salam
DOI：
10.1201/b14303
发表时间：
2012-12
期刊：
--
影响因子：
--
作者：
N. Femia;G. Petrone;G. Spagnuolo;M. Vitelli
通讯作者：
N. Femia;G. Petrone;G. Spagnuolo;M. Vitelli
影响因子：
6.7
作者：
M. F. N. Tajuddin;S. Ayob;Z. Salam;M. S. Saad
通讯作者：
M. F. N. Tajuddin;S. Ayob;Z. Salam;M. S. Saad