Energy management in photovoltaic battery hybrid systems: A novel type-2 fuzzy control

被引：42
作者：
Mohammadzadeh, Ardashir [1 ]
Rathinasamy, Sakthivel [2 ]
机构：
[1] Univ Bonab, Elect Engn Dept, Bonab, Iran
[2] Bharathiar Univ, Dept Appl Math, Coimbatore 641046, Tamil Nadu, India
来源：
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY | 2020年 / 45卷 / 41期
关键词：
Photovoltaic system; Interval type-2 fuzzy neural network; Adaptive control; Robustness; POWER POINT TRACKING; INTERVAL TYPE-2; CONTROL STRATEGY; STORAGE; DESIGN; IMPLEMENTATION; MODELS;
D O I：
10.1016/j.ijhydene.2020.05.187
中图分类号：
O64 [物理化学（理论化学）、化学物理学];
学科分类号：
070304 ; 081704 ;
摘要：
In this paper, a new robust fuzzy control approach is presented to power management in the photovoltaic (PV)-battery hybrid system. The stability and robustness of the developed control scheme is analyzed through the Lyapunov technique. The dynamics of the converters, battery and PV system are assumed to be fully unknown. Specifically, the uncertainties are online estimated by the adaptive interval type-2 fuzzy neural networks. It is shown that the implemented control technique results are in good performance in the presence of time-varying radiation, changes of temperature and output load variation in comparison with the other well-known control techniques. (C) 2020 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码：20970 / 20982
页数：13
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