Control Strategies of a Neuro-Fuzzy Controlled Grid Connected Hybrid PV/PEMFC/Battery

Control Strategies of a Neuro-Fuzzy Controlled Grid Connected Hybrid PV/PEMFC/Battery

N. Subrahmanyam

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T. Praveen Kumar

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M. Sydulu

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Maulana Azad National Institute of Technology

Control Strategies of a Neuro-Fuzzy Controlled Grid Connected Hybrid PV/PEMFC/Battery

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Abstract

This paper depicts power control strategies of a neuro-fuzzy controlled grid connected hybrid photovoltaic and proton exchange membrane fuel cell distributed generation system with battery as energy storage device. The essential source of energy for the hybrid distributed generation system is from photovoltaic cell and proton exchange membrane fuel cell and the battery acts as a complementary source of energy.The hybrid distributed generation system is connected to a grid through power electronic interfacing devices.A Matlab/Simulink model is developed for the grid connected hybrid distributed generation system, neuro-fuzzy controlled power electronic DC/DC and DC/AC converters to control the flow of power on both sides. Likewise we extended our work so as to distribute the power between power sources, the neurofuzzy power controller has been developed. Simulation results are presented to demonstrate the effectiveness and capability of proposed control strategy.

References

10 Cites in Article

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

N. Subrahmanyam. 2016. \u201cControl Strategies of a Neuro-Fuzzy Controlled Grid Connected Hybrid PV/PEMFC/Battery\u201d. Global Journal of Research in Engineering - F: Electrical & Electronic GJRE-F Volume 16 (GJRE Volume 16 Issue F2): .

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GJRE Volume 16 Issue F2
Pg. 4- 11

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords

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Classification

GJRE-F Classification: FOR Code: 080108

Submission ReceivedDecember 13, 2015
Peer Review Double Blind
Handling Editor
Accepted January 3, 2016
Published January 15, 2016

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v1.2

Issue date

March 14, 2016

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Article Matrices

Total Score: 103

Country: India

Subject: Global Journal of Research in Engineering - F: Electrical & Electronic

Authors: T. Praveen Kumar, N. Subrahmanyam, M. Sydulu (PhD/Dr. count: 0)

View Count (all-time): 282

Total Views (Real + Logic): 4149

Total Downloads (simulated): 1954

Publish Date: 2016 03, Mon

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Total Views: 4149

Total Downloads: 1954

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