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169256

Optimum Design of Small Autonomous System with Unconventional Energy Sources.

Article

Last updated: 22 Jan 2023

Subjects

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Tags

Electrical Engineering

Abstract

This paper presents a suggested method in computing the optimum design of a combined power system. This system contains: diesel generators, wind turbine generators, solar cells arrays, and storage batteries. This method is also used in determining the economic benefits obtained on interconnecting the wind turbine generators, solar cells arrays and storage batteries with the diesel generators used in feeding loads of remote sites. The proposed method determines: sizes and types of the diesel generators numbers and types of wind turbine generators solar cells arrays size and battery storage capacity used in compensating the surplus or the deficit occurred in the generated energy. These parameters are essentially dependent upon the required load and the characteristics of the site at which the system is installed. These characteristics are represented by the solar radiation data and the wind speed profile. A numerical application is presented in the end of this paper revealing the validity of the proposed method and the developed results are discussed.

DOI

10.21608/bfemu.2021.169256

Authors

First Name

Mohamed

Last Name

Mohamed El-Sayes

MiddleName

Adel Rateb

Affiliation

Associate Professor of Electrical Power and Machines Department, Faculty of Engineering, Mansoura University, Mansoura, Egypt.

Email

-

City

Mansoura

Orcid

-

Volume

16

Article Issue

1

Related Issue

24660

Issue Date

1991-05-01

Receive Date

1991-01-11

Publish Date

2021-05-01

Page Start

46

Page End

59

Print ISSN

1110-0923

Online ISSN

2735-4202

Link

https://bfemu.journals.ekb.eg/article_169256.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=169256

Order

4

Type

Research Studies

Type Code

1,205

Publication Type

Journal

Publication Title

MEJ. Mansoura Engineering Journal

Publication Link

https://bfemu.journals.ekb.eg/

MainTitle

-

Details

Type

Article

Created At

22 Jan 2023