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99324

PSO-Based Optimal Dispatch Considering Demand Response as a Power Resource.

Article

Last updated: 22 Jan 2023

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Subjects

-

Tags

Electrical Engineering

Abstract

Demand Response (DR) is the reduction in electric energy by the consumers from their normal consumption due to change in electricity price over time or responding to operator order when system reliability is jeopardized. This paper proposes the reduction in consumption as a virtual generation added to the system and it can be treated as a demand resource for optimal dispatch. DR cost function is proposed which looks like the cost function for conventional generation to make an optimal combination between both DR and conventional generators, to operate the power system. Particle swarm optimization (PSO) technique is used to get the optimal load dispatch considering DR as a demand resource. The optimal dispatch is obtained using MATLAB software by determining the operating cost of 6- bus distribution system with five generators and four DR.

DOI

10.21608/bfemu.2020.99324

Keywords

demand Response (DR), Virtual generation, Marginal cost, Power system reliability & Particle Swarm Optimization (PSO)

Authors

First Name

Ibrahim

Last Name

Mansy

MiddleName

Ibrahim

Affiliation

Electrical Engineering Department, Mansoura University, Egypt

Email

-

City

Mansoura

Orcid

-

First Name

Ahmed

Last Name

Hatata

MiddleName

Youssef

Affiliation

associated professor in Electric Engineering Dept., Faculty of engineering, Mansoura Univ., Egypt

Email

a_hatata@mans.edu.eg

City

-

Orcid

-

First Name

H.

Last Name

Elsayyad

MiddleName

W.

Affiliation

Electrical Engineering Department, Mansoura University, Mansoura 35516, Egypt

Email

-

City

-

Orcid

-

Volume

41

Article Issue

1

Related Issue

14715

Issue Date

2016-03-01

Receive Date

2015-11-19

Publish Date

2020-06-30

Page Start

1

Page End

6

Print ISSN

1110-0923

Online ISSN

2735-4202

Article File

BFEMU_Volume 41_Issue 1_Pages 1-6.pdf

PDF . 762.5kB

Link

https://bfemu.journals.ekb.eg/article_99324.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=99324

Order

1

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