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175023

Wind Electric System (WES) Design Using General and Simple Algorithm.

Article

Last updated: 22 Jan 2023

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Tags

Electrical Engineering

Abstract

It is intended in this paper to find the optimum design of a wind electric system by a general, but simple algorithm. It is a general since the proposal can be applied to any wind regime, site and design parameters. Its simplicity stems from the direct solution of the optimization problem without hard and numerous calculations. This is obtained although several parameters are involved. Thus, an objective cost function is deduced to express mathematically the energy cost figure against the foregoing variables. It will be minimized subjected to the most effective technical constraints. 
Two models are derived also, to describe the optimum normalized rated wind speed and the minimum energy cost figure in explicit forms as functions of wind regime parameters and the wind speeds ratios. 
A comparative study has been carried out to validate the proposed algorithm and the deduced models. The results are compared with those attained by applying the previously published methodology which depends on step-by-step calculations for specific conditions. The comparison demonstrates the flexibility of the proposal to any change in data and accuracy in estimating the optimum solution despite of its simplicity. 
 

DOI

10.21608/bfemu.2021.175023

Authors

First Name

M.

Last Name

El-Maghraby

MiddleName

H.

Affiliation

Professor & IEEE SM., Electrical Power and Machines Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt.

Email

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City

Mansoura

Orcid

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First Name

Mohamed Adel

Last Name

El-Sayes

MiddleName

Rateb Mohamed

Affiliation

Assistant Professor., Electrical Power an Machines Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt.

Email

-

City

Mansoura

Orcid

-

Volume

12

Article Issue

2

Related Issue

25313

Issue Date

1987-12-01

Receive Date

1987-08-24

Publish Date

2021-06-03

Page Start

23

Page End

36

Print ISSN

1110-0923

Online ISSN

2735-4202

Link

https://bfemu.journals.ekb.eg/article_175023.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=175023

Order

10

Type

Research Studies

Type Code

1,205

Publication Type

Journal

Publication Title

MEJ. Mansoura Engineering Journal

Publication Link

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

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Details

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Article

Created At

22 Jan 2023