Fuzzy Logic Control for a Stand-Alone PV System with PI Controller for Battery Charging Based on Evolutionary Technique

被引：0

作者：

Hussian, Omnia S. S. ^{[1
]}

Elsayed, Hany M. ^{[2
]}

Hassan, M. A. Moustafa ^{[3
]}

机构：

[1] Inst Aviat Engn & Technol, Giza, Egypt

[2] Cairo Univ, Commun & Elect Dept, Fac Engn, Giza, Egypt

[3] Cairo Univ, Elect Power & Machines Dept, Fac Engn, Giza, Egypt

来源：

PROCEEDINGS OF THE 2019 10TH IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT DATA ACQUISITION AND ADVANCED COMPUTING SYSTEMS - TECHNOLOGY AND APPLICATIONS (IDAACS), VOL. 2 | 2019年

关键词：

PV systems; PI controller; FLC control; MAACPSO technique; POWER POINT TRACKING;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper introduces the application of Fuzzy Logic Controller (FLC) to extract the Maximum Power Point Tracking (MPPT) from PV panel. In addition, the Proportional Integral (PI) controller is used to be the strategy for battery charge control according to acceptable performance criteria. The parameters of the PI controller have been tuned via Modified Adaptive Accelerated Coefficient Particle Swarm Optimization (MAACPSO) technique. The simulation results, using MATLAB/Simulink tools, show that the FLC technique has advantages for use in the MPPT problem, as it provides fast response under changes in environmental conditions such as radiation and temperature. In addition, the use of PI controller based on MAACPSO results in good performance in terms of Settling Time Ts, Maximum OverShoot (MOS), and objective function such as Integral Square Error (ISE), Integral Absolute Error (IAE), Integral Time Square Error (ITSE) and Integral Time Absolute Error (ITAE) of controlling battery charging with constant voltage to execute rapid charging.

引用

页码：889 / 894

页数：6

共 17 条

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