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205156

The Most Economical Design of Hybrid PV/Wind/Battery/Diesel Generator Energy System Considering Various Number of Design Parameters Based on Genetic Algorithm

Article

Last updated: 22 Jan 2023

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Subjects

-

Tags

Electrical Engineering

Abstract

The optimal sizing of a hybrid energy system may be a difficult undertaking problem, because of the huge number of structure settings and the irregular nature of solar radiation and wind power sources. This issue has a place with the classification of combinatorial enhancement, and its solution dependent on the classical technique may be a waste of time. This paper proposes a Genetic Algorithm (GA) methodology to find the optimal sizing of a hybrid Photovoltaic, Wind Turbine, Battery Storage, and Diesel Generators (PV/WT/BA/DG) energy system based on the number of PV modules, the number of wind turbines, the number of batteries, the number of diesel generators, the slope angle of PV panel and a hub height of wind turbine as the design parameters and study its effect on the Levelized Cost of Energy (LCOE). The proposed method aims to minimize the LCOE with high reliability of load supplying by increasing the design variables gradually. The proposed method will be tested at different sites with various metrological data to ensure its robustness. The results show that the LCOE decreases as the design parameters increase, also that the average wind-speed is inversely proportional to the LCOE of the site under study.

DOI

10.21608/fuje.2021.205156

Keywords

Genetic Algorithm, Hybrid System, renewable energy, Optimization

Authors

First Name

Eslam

Last Name

Ahmed

MiddleName

Mohamed

Affiliation

Department of Engineering Mathematics and Physics, Faculty of Engineering, Fayoum University

Email

ema09@fayoum.edu.eg

City

-

Orcid

-

First Name

Mennatullah

Last Name

Albarawy

MiddleName

Mahmoud

Affiliation

Department of Engineering Mathematics and Physics, Faculty of Engineering, Fayoum University

Email

mmm08@fayoum.edu.eg

City

-

Orcid

-

First Name

Khaled

Last Name

Ibrahim

MiddleName

H.

Affiliation

Electrical Engineering Department, Faculty of Engineering, Fayoum University

Email

khi00@fayoum.edu.eg

City

-

Orcid

-

Volume

4

Article Issue

1

Related Issue

28760

Issue Date

2021-11-01

Receive Date

2021-11-16

Publish Date

2021-11-01

Page Start

191

Page End

206

Print ISSN

2537-0626

Online ISSN

2537-0634

Article File

FUJE_Volume 4_Issue 1_Pages 191-206.pdf

PDF . 1.2MB

Link

https://fuje.journals.ekb.eg/article_205156.html

Detail API

https://fuje.journals.ekb.eg/service?article_code=205156

Order

10

Type

Original Article

Type Code

651

Publication Type

Journal

Publication Title

Fayoum University Journal of Engineering

Publication Link

https://fuje.journals.ekb.eg/

MainTitle

-

Details

Type

Article

Created At

22 Jan 2023