A particle swarm algorithm for the optimal power flow problem

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

A particle swarm algorithm for the optimal power flow problem

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

Abstract

This paper deals with the Optimal Power Flow (OPF) problem. Two different objective functions namely; active power losses and generation fuel cost are minimized and compared using the IEEE 30-bus system. System operating constrains, including constrains dictated by the electrical network are satisfied. An efficient software package based on the particle swarm algorithm to solve the OPF problem is developed. Comparisons between results of different objective functions and other methods in the literature are presented. Further objective functions and constraints can be easily added to the developed software package and tested.

Original language	English
Title of host publication	Proceedings of the Sixth IASTED International Conference on European Power and Energy Systems, EuroPES 2006
Pages	202-206
Number of pages	5
State	Published - 2006

Publication series

Name	Series on Energy and Power Systems
Volume	2006
ISSN (Print)	1482-7891

Keywords

Economic operation of power system
Optimization techniques
Particle swarm
Power flow

ASJC Scopus subject areas

General Engineering

Cite this

@inproceedings{7f61638662824d7a9f50ea97a9e27ff1,

title = "A particle swarm algorithm for the optimal power flow problem",

abstract = "This paper deals with the Optimal Power Flow (OPF) problem. Two different objective functions namely; active power losses and generation fuel cost are minimized and compared using the IEEE 30-bus system. System operating constrains, including constrains dictated by the electrical network are satisfied. An efficient software package based on the particle swarm algorithm to solve the OPF problem is developed. Comparisons between results of different objective functions and other methods in the literature are presented. Further objective functions and constraints can be easily added to the developed software package and tested.",

keywords = "Economic operation of power system, Optimization techniques, Particle swarm, Power flow",

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

year = "2006",

language = "English",

isbn = "0889865574",

series = "Series on Energy and Power Systems",

pages = "202--206",

booktitle = "Proceedings of the Sixth IASTED International Conference on European Power and Energy Systems, EuroPES 2006",

}

A particle swarm algorithm for the optimal power flow problem. / Mantawy, A. H.; Al-Ghamdi, M. S.
Proceedings of the Sixth IASTED International Conference on European Power and Energy Systems, EuroPES 2006. 2006. p. 202-206 (Series on Energy and Power Systems; Vol. 2006).

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

TY - GEN

T1 - A particle swarm algorithm for the optimal power flow problem

AU - Mantawy, A. H.

AU - Al-Ghamdi, M. S.

PY - 2006

Y1 - 2006

N2 - This paper deals with the Optimal Power Flow (OPF) problem. Two different objective functions namely; active power losses and generation fuel cost are minimized and compared using the IEEE 30-bus system. System operating constrains, including constrains dictated by the electrical network are satisfied. An efficient software package based on the particle swarm algorithm to solve the OPF problem is developed. Comparisons between results of different objective functions and other methods in the literature are presented. Further objective functions and constraints can be easily added to the developed software package and tested.

AB - This paper deals with the Optimal Power Flow (OPF) problem. Two different objective functions namely; active power losses and generation fuel cost are minimized and compared using the IEEE 30-bus system. System operating constrains, including constrains dictated by the electrical network are satisfied. An efficient software package based on the particle swarm algorithm to solve the OPF problem is developed. Comparisons between results of different objective functions and other methods in the literature are presented. Further objective functions and constraints can be easily added to the developed software package and tested.

KW - Economic operation of power system

KW - Optimization techniques

KW - Particle swarm

KW - Power flow

UR - https://www.scopus.com/pages/publications/33751226249

M3 - Conference contribution

AN - SCOPUS:33751226249

SN - 0889865574

SN - 9780889865570

T3 - Series on Energy and Power Systems

SP - 202

EP - 206

BT - Proceedings of the Sixth IASTED International Conference on European Power and Energy Systems, EuroPES 2006

ER -

A particle swarm algorithm for the optimal power flow problem

Abstract

Publication series

Keywords

ASJC Scopus subject areas

Fingerprint

Cite this