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238659

Grasshopper Optimization-based Optimal Sizing of DG/DSTATCOM in Distribution Networks

Article

Last updated: 22 Jan 2023

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Tags

Electrical Engineering

Abstract

This paper adopts the application of the new optimization technique to attain the optimal size and location of the distributed static synchronous compensators (DSTATCOMs) and distributed generators (DGs) in the electrical distribution network. The optimization technique is based on simulating the behavior of the Grasshopper insects and is called grasshopper optimizer algorithm (GOA). The proposed objective function that is used to obtain the size and locations of the DSTATCOMs and DGs is devised for reducing the losses in the active power and improving the voltage stability index, which is employed to detect the weak busses in the distribution network (DN). First, the optimal locations of the DGs and the DSTATCOMs are identified by using the loss sensitivity factor (LSF). Then, the proposed Multi-objective GOA is implemented to obtain the optimal penetration of the DGs and DSTATCOMs in the DNs. This methodology is tested on a radial distribution system (IEEE 33-bus) for different scenarios to inspect its effectiveness. The results proved that the reduction in the total power losses (TPLs) and the improvement in the voltage stability index (VSI) were 81.5% and 30.7%, respectively at cases which combined multi DGs and DSTATCOMs for the modified IEEE 33-bus test system. Also, the proposed method is compared with several existing algorithms; Particle Swarm Optimization technique, Backtracking Search, Immune Algorithm, Sine Cosine Algorithm, lightning Search Algorithm, and Bacterial Foraging Optimization Algorithm. The results confirm that the GOA method has better performance

DOI

10.21608/bfemu.2022.238659

Keywords

Loss Sensitivity Factor, VSI, DSTATCOM, Distributed Generators, Multi-objective Grasshopper Optimization Algorithm

Authors

First Name

M.

Last Name

Frahat

MiddleName

-

Affiliation

Assistant Lecture, Electrical Engineering Department, Faculty of Engineering, Mansoura University, Egypt

Email

eng.mohamed_frahat86@yahoo.com

City

-

Orcid

-

First Name

A.

Last Name

Y. Hatata

MiddleName

-

Affiliation

Associated Professor in Electrical Engineering Dept., Faculty of Engineering, Mansoura Univ., Egypt.

Email

a_hatata@mans.edu.eg

City

Mansoura

Orcid

-

First Name

M.

Last Name

M. Saadawi

MiddleName

-

Affiliation

Prof. in Electrical Engineering Department, Faculty of Engineering Mansoura University, Egypt

Email

m_saadawi@mans.edu.eg

City

Mansoura

Orcid

-

First Name

S.

Last Name

S. Kaddah

MiddleName

-

Affiliation

Prof. in Electrical Engineering Department, Faculty of Engineering Mansoura University, Egypt

Email

skaddah@mans.edu.eg

City

-

Orcid

-

Volume

47

Article Issue

2

Related Issue

32041

Issue Date

2022-04-01

Receive Date

2021-12-05

Publish Date

2022-05-22

Page Start

6

Page End

16

Print ISSN

1110-0923

Online ISSN

2735-4202

Article File

BFEMU_Volume 47_Issue 2_Pages 6-16.pdf

PDF . 1.5MB

Link

https://bfemu.journals.ekb.eg/article_238659.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=238659

Order

18

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