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30795

Design and operation of PV / FC smart electrical power system using neural networks

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Last updated: 24 Dec 2024

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Abstract

This paper introduces a study of design and performance of Photovoltaic / Fuel Cells Smart Electrical Power System, PV/FC SEPS, to supply a load in a remote area has the same latitude of Elminia city. Since the output of PV system depends on solar radiation then the FC starts automatically by using Artificial Neural Network, ANN, when solar radiation is insufficient to feed the load demand. By using this operation strategy the FC works as a back- up power supply. The performance of the system for a step change in the electrical load and solar radiation are presented. Analysis of the system's response and its limitations are discussed.

DOI

10.21608/iceeng.2012.30795

Keywords

solar energy, Hydrogen, Fuel cell, Electrolysis, Polymer Electrolyte Membrane, Photovoltaic, artificial neural network, environment

Authors

First Name

Hassan.

Last Name

EL-Tamaly

MiddleName

H.

Affiliation

Prof. of Electrical Power Engineering, Vice Dean for Community Servic and Environment Development, Faculty of Engineering, Minia University, Elminia, Egypt.

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City

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Orcid

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First Name

Ayman

Last Name

Nassef

MiddleName

Yousef

Affiliation

Middle Egypt Electricity Distribution Co., Egypt.

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Orcid

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Volume

8

Article Issue

8th International Conference on Electrical Engineering ICEENG 2012

Related Issue

5272

Issue Date

2012-05-01

Receive Date

2019-04-28

Publish Date

2012-05-01

Page Start

1

Page End

13

Print ISSN

2636-4433

Online ISSN

2636-4441

Article File

ICEENG_Volume 8_Issue 8th International Conference on Electrical Engineering ICE….pdf

PDF . 232.9kB

Link

https://iceeng.journals.ekb.eg/article_30795.html

Detail API

https://iceeng.journals.ekb.eg/service?article_code=30795

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49

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Original Article

Type Code

833

Publication Type

Journal

Publication Title

The International Conference on Electrical Engineering

Publication Link

https://iceeng.journals.ekb.eg/

MainTitle

Design and operation of PV / FC smart electrical power system using neural networks

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Article

Created At

22 Jan 2023