Combining Simplified Firefly and Modified P&O Algorithm for Maximum Power Point Tracking of Photovoltaic System Under Partial Shading Condition

被引：0
|
作者：
Safarudin, Yanuar Mahfudz [1 ]
Priyadi, Ardyono [1 ]
Purnomo, Mauridhi Hery [2 ]
Pujiantara, Margo [2 ]
机构：
[1] Inst Teknol Sepuluh Nopember, Instrumentat Measurement & Power Syst Identificat, Surabaya, Indonesia
[2] Inst Teknol Sepuluh Nopember, Dept Elect Engn, Surabaya, Indonesia
来源：
2015 INTERNATIONAL SEMINAR ON INTELLIGENT TECHNOLOGY AND ITS APPLICATIONS (ISITIA) | 2015年
关键词：
SFA; P&O; MPPT; PSC; PV systems;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper proposes the combination of firefly and P&O algorithm to get both of its benefit. Simplified firefly algorithm used for escaping partial shading multi peaks condition due to Partial Shading Condition (PSC). When it goes yet to converge, the algorithm used is switched to faster modified P&O algorithm. This proposed algorithm is to obtain the optimal solution for Maximum Power-Point Tracking (MPPT) of Photovoltaic (PV) system under three shaded conditions. The simulation results are compared with traditional Perturbation and Observation (P&O) and Simplified Firefly Algorithm (SFA) to verify the proposed method performance. The main advantage of proposed algorithm is faster convergence and tracking speed compared to its previous method that is Simplified Firefly Algorithm (SFA).
引用
收藏
页码：181 / 186
页数：6
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