Fuzzy Logic based Improved P&O MPPT Technique for Partial Shading Conditions

被引：0
|
作者：
Kumar, Ratnesh [1 ]
Kumar, Bhavnesh [1 ]
Swaroop, D. [1 ]
机构：
[1] Netaji Subhas Inst Technol, Div ICE, Delhi, India
来源：
2018 INTERNATIONAL CONFERENCE ON COMPUTING, POWER AND COMMUNICATION TECHNOLOGIES (GUCON) | 2018年
关键词：
Fuzzy Logic Controller (FLC); Maximum power point tracking (MPPT); Photovoltaic (PV); Partial shading conditions (PSC's); Perturb & Observe (P&O);
D O I：
暂无
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：
This paper presents a hybrid method of maximum power point tracking (MPPT) under partial shading conditions for photovoltaic (PV) power generators. The perturb and observe (P&O) algorithm is one of extensively used scheme for MPPT, but in case of partial shading conditions, the P-V curve have multiple peaks and this conventional method may not converge to the global maximum power point (GMPP). Here, whole search space of MPP is divided into three regions and a fuzzy logic controller has been proposed to identify the region of GMPP. After identification P&O algorithm is used to track the GMPP. Detailed analysis of the proposed scheme is done using MATLAB/Simulink software.
引用
收藏
页码：775 / 779
页数：5
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