A new reactive power optimization algorithm

A. H. Mantawy; M. S. Al-Ghamdi

doi:10.1109/PTC.2003.1304768

A new reactive power optimization algorithm

A. H. Mantawy^*
, M. S. Al-Ghamdi

^*Corresponding author for this work

King Fahd University of Petroleum & Minerals

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

33 Scopus citations

Abstract

This paper presents a new algorithm for optimizing reactive power using Particle Swarm Algorithm. A new implementation for the particle swarm algorithm has been applied. The objective function of the proposed algorithm is to minimize the system active power loss. The control variables are generator bus voltages, transformer tap positions and switch-able shunt capacitor banks. The proposed algorithm has been applied to practical IEEE 6-bus system. The proposed algorithm shows better results as compared to previous work.

Original language	English
Title of host publication	2003 IEEE Bologna PowerTech - Conference Proceedings
Pages	470-475
Number of pages	6
DOIs	https://doi.org/10.1109/PTC.2003.1304768
State	Published - 2003

Publication series

Name	2003 IEEE Bologna PowerTech - Conference Proceedings
Volume	4

Keywords

Loss minimization
Particle swarm algorithm
Reactive power optimization

ASJC Scopus subject areas

Energy Engineering and Power Technology
Fuel Technology

Access to Document

10.1109/PTC.2003.1304768

Cite this

@inproceedings{3a06f2cba82a4eb782775a9787c590e9,

title = "A new reactive power optimization algorithm",

abstract = "This paper presents a new algorithm for optimizing reactive power using Particle Swarm Algorithm. A new implementation for the particle swarm algorithm has been applied. The objective function of the proposed algorithm is to minimize the system active power loss. The control variables are generator bus voltages, transformer tap positions and switch-able shunt capacitor banks. The proposed algorithm has been applied to practical IEEE 6-bus system. The proposed algorithm shows better results as compared to previous work.",

keywords = "Loss minimization, Particle swarm algorithm, Reactive power optimization",

author = "Mantawy, \{A. H.\} and Al-Ghamdi, \{M. S.\}",

year = "2003",

doi = "10.1109/PTC.2003.1304768",

language = "English",

isbn = "0780379675",

series = "2003 IEEE Bologna PowerTech - Conference Proceedings",

pages = "470--475",

booktitle = "2003 IEEE Bologna PowerTech - Conference Proceedings",

}

TY - GEN

T1 - A new reactive power optimization algorithm

AU - Mantawy, A. H.

AU - Al-Ghamdi, M. S.

PY - 2003

Y1 - 2003

N2 - This paper presents a new algorithm for optimizing reactive power using Particle Swarm Algorithm. A new implementation for the particle swarm algorithm has been applied. The objective function of the proposed algorithm is to minimize the system active power loss. The control variables are generator bus voltages, transformer tap positions and switch-able shunt capacitor banks. The proposed algorithm has been applied to practical IEEE 6-bus system. The proposed algorithm shows better results as compared to previous work.

AB - This paper presents a new algorithm for optimizing reactive power using Particle Swarm Algorithm. A new implementation for the particle swarm algorithm has been applied. The objective function of the proposed algorithm is to minimize the system active power loss. The control variables are generator bus voltages, transformer tap positions and switch-able shunt capacitor banks. The proposed algorithm has been applied to practical IEEE 6-bus system. The proposed algorithm shows better results as compared to previous work.

KW - Loss minimization

KW - Particle swarm algorithm

KW - Reactive power optimization

UR - https://www.scopus.com/pages/publications/84861488288

U2 - 10.1109/PTC.2003.1304768

DO - 10.1109/PTC.2003.1304768

M3 - Conference contribution

AN - SCOPUS:84861488288

SN - 0780379675

SN - 9780780379671

T3 - 2003 IEEE Bologna PowerTech - Conference Proceedings

SP - 470

EP - 475

BT - 2003 IEEE Bologna PowerTech - Conference Proceedings

ER -

A new reactive power optimization algorithm

Abstract

Publication series

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this