Dynamic Behaviour Analysis of ANFIS Based MPPT Controller for Standalone Photovoltaic Systems

被引：0
|
作者：
Haji, Dilovan [1 ]
Genc, Naci [2 ]
机构：
[1] Univ Zakho, Mech Engn Dept, Coll Engn, Zakho, Iraq
[2] Van Yuzuncu Yil Univ, Fac Engn, Elect & Elect Engn Dept, TR-65080 Van, Turkey
来源：
INTERNATIONAL JOURNAL OF RENEWABLE ENERGY RESEARCH | 2020年 / 10卷 / 01期
关键词：
PV; MPPT; Fuzzy Logic; ANFIS; 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 proposes dynamic behavior analysis of Adaptive Neuro Fuzzy Inference System (ANFIS) based Maximum Power Point Tracking (MPPT) controller for a standalone photovoltaic (PV) system under various weather conditions such as different level of irradiance and temperature. Also, the dynamic behavior analysis of the system has been done by using different MPPT techniques which are ANFIS, Perturb and Observation (P&O) and Fuzzy Logic Controller (FLC). Based upon the results, the ANFIS based MPPT controller can track the maximum power point faster than other suggested controllers under various weather circumstances. It also observed that the intelligent based MPPT algorithms have lower rippling in power compared with conventional P&O algorithm. In addition, the dynamic behavior analysis of proposed MPPT controller shows that the system could stay operating at MPP during changes occurring to the load by changing PV voltage and current to extract the desired maximum power.
引用
收藏
页码：101 / 108
页数：8
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