Investigation of hybrid genetic algorithm / particle swarm optimization approach for the power flow problem

T. O. Ting; K. P. Wong; C. Y. Chung

doi:10.1109/icmlc.2005.1526986

Investigation of hybrid genetic algorithm / particle swarm optimization approach for the power flow problem

T. O. Ting
, K. P. Wong
, C. Y. Chung

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

3 Citations (Scopus)

Abstract

This paper presents an investigation of possible hybrid genetic algorithm/ particle swarm optimization approaches to evaluate the flow of electric power in power transmission network. The possible schemes are presented and their performances are illustrated by applying them to the power flow problem of the Klos Kerner 11-busbar system.

Original language	English
Title of host publication	2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005
Publisher	IEEE Computer Society
Pages	436-440
Number of pages	5
ISBN (Print)	078039092X, 9780780390928
DOIs	https://doi.org/10.1109/icmlc.2005.1526986
Publication status	Published - Aug 2005
Event	International Conference on Machine Learning and Cybernetics, ICMLC 2005 - Guangzhou, China Duration: 18 Aug 2005 → 21 Aug 2005

Publication series

Name	2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005

Conference

Conference	International Conference on Machine Learning and Cybernetics, ICMLC 2005
Country/Territory	China
City	Guangzhou
Period	18/08/05 → 21/08/05

Keywords

Hybrid algorithms
Optimization
Power Flow

ASJC Scopus subject areas

General Engineering

More information

10.1109/icmlc.2005.1526986

Cite this

Ting, T. O., Wong, K. P., & Chung, C. Y. (2005). Investigation of hybrid genetic algorithm / particle swarm optimization approach for the power flow problem. In 2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005 (pp. 436-440). (2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005). IEEE Computer Society. https://doi.org/10.1109/icmlc.2005.1526986

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title = "Investigation of hybrid genetic algorithm / particle swarm optimization approach for the power flow problem",

abstract = "This paper presents an investigation of possible hybrid genetic algorithm/ particle swarm optimization approaches to evaluate the flow of electric power in power transmission network. The possible schemes are presented and their performances are illustrated by applying them to the power flow problem of the Klos Kerner 11-busbar system.",

keywords = "Hybrid algorithms, Optimization, Power Flow",

author = "Ting, \{T. O.\} and Wong, \{K. P.\} and Chung, \{C. Y.\}",

year = "2005",

month = aug,

doi = "10.1109/icmlc.2005.1526986",

language = "English",

isbn = "078039092X",

series = "2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005",

publisher = "IEEE Computer Society",

pages = "436--440",

booktitle = "2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005",

address = "United States",

note = "International Conference on Machine Learning and Cybernetics, ICMLC 2005 ; Conference date: 18-08-2005 Through 21-08-2005",

}

Ting, TO, Wong, KP & Chung, CY 2005, Investigation of hybrid genetic algorithm / particle swarm optimization approach for the power flow problem. in 2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005. 2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005, IEEE Computer Society, pp. 436-440, International Conference on Machine Learning and Cybernetics, ICMLC 2005, Guangzhou, China, 18/08/05. https://doi.org/10.1109/icmlc.2005.1526986

Investigation of hybrid genetic algorithm / particle swarm optimization approach for the power flow problem. / Ting, T. O.; Wong, K. P.; Chung, C. Y.
2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005. IEEE Computer Society, 2005. p. 436-440 (2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005).

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

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AU - Wong, K. P.

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N2 - This paper presents an investigation of possible hybrid genetic algorithm/ particle swarm optimization approaches to evaluate the flow of electric power in power transmission network. The possible schemes are presented and their performances are illustrated by applying them to the power flow problem of the Klos Kerner 11-busbar system.

AB - This paper presents an investigation of possible hybrid genetic algorithm/ particle swarm optimization approaches to evaluate the flow of electric power in power transmission network. The possible schemes are presented and their performances are illustrated by applying them to the power flow problem of the Klos Kerner 11-busbar system.

KW - Hybrid algorithms

KW - Optimization

KW - Power Flow

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U2 - 10.1109/icmlc.2005.1526986

DO - 10.1109/icmlc.2005.1526986

M3 - Conference article published in proceeding or book

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SN - 078039092X

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Ting TO, Wong KP, Chung CY. Investigation of hybrid genetic algorithm / particle swarm optimization approach for the power flow problem. In 2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005. IEEE Computer Society. 2005. p. 436-440. (2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005). doi: 10.1109/icmlc.2005.1526986

Investigation of hybrid genetic algorithm / particle swarm optimization approach for the power flow problem

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

More information

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