An Intelligent Maximum Power Point Using a Fuzzy Log Controller under Severe Weather Conditions

Author

Bataineh, Khaled M.

Source

International Journal of Photoenergy

Issue

Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-8, 8 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2018-12-13

Country of Publication

Egypt

No. of Pages

8

Main Subjects

Chemistry

Abstract EN

This study is aimed at providing a comparison between fuzzy systems and convectional P&O for tracking MPP of a PV system.

MATLAB/Simulink is used to investigate the response of both algorithms.

Several weather conditions are simulated: (i) uniform irradiation, (ii) sudden changing, and (iii) partial shading.

Under partial shading on a PV panel, multipeaks appeared in P-V characteristics of the panel.

Simulation results showed that a fuzzy controller effectively finds MPP for all weather condition scenarios.

Furthermore, simulation results obtained from the FLC are compared with those obtained from the P&O controller.

The comparison shows that the fuzzy logic controller exhibits a much better behavior.

American Psychological Association (APA)

Bataineh, Khaled M.. 2018. An Intelligent Maximum Power Point Using a Fuzzy Log Controller under Severe Weather Conditions. International Journal of Photoenergy،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1174001

Modern Language Association (MLA)

Bataineh, Khaled M.. An Intelligent Maximum Power Point Using a Fuzzy Log Controller under Severe Weather Conditions. International Journal of Photoenergy No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1174001

American Medical Association (AMA)

Bataineh, Khaled M.. An Intelligent Maximum Power Point Using a Fuzzy Log Controller under Severe Weather Conditions. International Journal of Photoenergy. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1174001

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1174001