A Comparative Study of a PV-MPPT grid-integrated system under Different Control Techniques

被引：0
|
作者：
Abouzeid, M. [1 ]
Sood, V. [1 ]
Youssef, M. [1 ]
机构：
[1] Univ Ontario Inst Technol, Oshawa, ON, Canada
来源：
2015 IEEE ELECTRICAL POWER AND ENERGY CONFERENCE (EPEC) | 2015年
关键词：
Maximum Power Point Tracking (MPPT) Fuzzy Logic; Fuzzy Neural Networks; Pulse Width Modulation (PWM); EMTP-RV;
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：
In this paper, Fuzzy logic (FL) and Fuzzy neural (FN) networks are introduced and implemented as Maximum Power Point Tracking (MPPT) algorithms. Using a case study of photovoltaic cell with Boost converter; the merits and demerits of these techniques are highlighted against traditional MPPT techniques; namely the Perturb and Observe (P&O) and the Incremental Conductance (IC). The four methods are simulated using the software package EMTP-RV and their performance is compared under various operating conditions. The results of this comparative study are presented to guide the hardware design in the solar industry as a futuristic approach.
引用
收藏
页码：256 / 261
页数：6
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