An intelligent approach based on fuzzy logic for improving and optimizing the performance of a photovoltaic system

被引：0
|
作者：
Layachi, Zaghba [1 ]
Borni, A. [1 ]
Bouchakeur, A. [1 ]
Terki, N. [2 ]
机构：
[1] CDER, URAER, Unite Rech Appl Energies Renouvelables, Ghardaia 47133, Algeria
[2] Univ Biskra, Dept Elect Engn, Biskra, Algeria
来源：
2014 INTERNATIONAL CONFERENCE ON ELECTRICAL SCIENCES AND TECHNOLOGIES IN MAGHREB (CISTEM) | 2014年
关键词：
MPPT PV; fuzzy controller; Buck Boost converter; photovoltaic generator;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
This work presents an intelligent approach to the improvement and optimization of control performance of a PV system, the method further maximum power point tracking (MPPT) based on fuzzy logic. Our system consists of a photovoltaic panel (PV), a DC-DC buck-boost converter, considered a matching stage between the PV and the load. The strategy for the synthesis of control laws is based on modeling the behavior of the PV system, which allows us to integrate different control techniques to ensure a smooth continuation in the presence of modeling errors and external disturbances. Modeling and simulation system (photovoltaic panel, Buck-Boost DC-DC converter, the MPPT algorithm based on fuzzy logic and load) is achieved through the Matlab / Simulink software.
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页数：6
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