A new hybrid method based on Fuzzy Logic for maximum power point tracking of Photovoltaic Systems

被引：22
|
作者：
Parvaneh, Mohammad Hasan [1 ,2 ]
Khorasani, Pouria Goharshenasan [1 ]
机构：
[1] West Reg Elect Co, Kermanshah, Iran
[2] Bu Ali Sina Univ, Dept Elect Engn, Fac Engn, Hamadan, Hamadan, Iran
来源：
ENERGY REPORTS | 2020年 / 6卷
关键词：
Maximum power point tracking (MPPT); Photovoltaic system; Short Circuit Current (SCC); Fuzzy Logic (FL); INCREMENTAL CONDUCTANCE MPPT; HARDWARE IMPLEMENTATION; NEURAL-NETWORK; PV SYSTEMS; ALGORITHM; SIMULATION; CONVERTER; CONTROLLER; MODULES;
D O I：
10.1016/j.egyr.2020.06.010
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：
Solar panels have non-linear voltage-current features with only one distinctive point where maximum power is obtained. This optimal power point alters with oscillations in temperature and radiation intensity. Various techniques have been proposed for online, offline and hybrid maximum power point tracking. In this paper a new hybrid method based on fuzzy logic for maximum power point tracking of photovoltaic systems has been proposed. At first, this algorithm presents a comparison of two components, including work point calculation and accurate adjustment. Then, work point calculation estimates the maximum power point. Finally, accurate adjustment follows the accurate value of maximum power based on Fuzzy Logic (FL) method. The method proposed in this study is simulated in MATLAB/SIMULINK work space. The proposed method is able to improve the dynamic response and steady-state response of the PV systems and a comparison is made between the results of simulation and the existing techniques and the efficacy of the proposed method has been discussed. (C) 2020 The Authors. Published by Elsevier Ltd.
引用
收藏
页码：1619 / 1632
页数：14
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