Locating type-1 load flow solutions using hybrid evolutionary algorithm

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

doi:10.1109/ICMLC.2006.258867

Locating type-1 load flow solutions using hybrid evolutionary algorithm

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

Conventional methods can only locate some of the Type-1 load flow solutions in power systems and the located solutions are inadequate for voltage stability assessment. This paper proposes a hybrid Genetic Algorithm / Particle Swarm Optimization algorithm for locating all the Type-1 load flow solutions. The characteristics of the Type-1 solutions are described in the paper. The hybrid algorithm is applied to two test systems. The test results obtained are satisfactory and promising for voltage stability monitoring applications.

Original language	English
Title of host publication	Proceedings of the 2006 International Conference on Machine Learning and Cybernetics
Pages	4093-4098
Number of pages	6
DOIs	https://doi.org/10.1109/ICMLC.2006.258867
Publication status	Published - Aug 2006
Event	2006 International Conference on Machine Learning and Cybernetics - Dalian, China Duration: 13 Aug 2006 → 16 Aug 2006

Publication series

Name	Proceedings of the 2006 International Conference on Machine Learning and Cybernetics
Volume	2006

Conference

Conference	2006 International Conference on Machine Learning and Cybernetics
Country/Territory	China
City	Dalian
Period	13/08/06 → 16/08/06

Keywords

Bifurcation
Hybrid evolutionary algorithm
Load flow analysis
Voltage stability

ASJC Scopus subject areas

General Engineering

More information

10.1109/ICMLC.2006.258867

Cite this

Ting, T. O., Wong, K. P., & Chung, C. Y. (2006). Locating type-1 load flow solutions using hybrid evolutionary algorithm. In Proceedings of the 2006 International Conference on Machine Learning and Cybernetics (pp. 4093-4098). Article 4028788 (Proceedings of the 2006 International Conference on Machine Learning and Cybernetics; Vol. 2006). https://doi.org/10.1109/ICMLC.2006.258867

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title = "Locating type-1 load flow solutions using hybrid evolutionary algorithm",

abstract = "Conventional methods can only locate some of the Type-1 load flow solutions in power systems and the located solutions are inadequate for voltage stability assessment. This paper proposes a hybrid Genetic Algorithm / Particle Swarm Optimization algorithm for locating all the Type-1 load flow solutions. The characteristics of the Type-1 solutions are described in the paper. The hybrid algorithm is applied to two test systems. The test results obtained are satisfactory and promising for voltage stability monitoring applications.",

keywords = "Bifurcation, Hybrid evolutionary algorithm, Load flow analysis, Voltage stability",

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

year = "2006",

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series = "Proceedings of the 2006 International Conference on Machine Learning and Cybernetics",

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Ting, TO, Wong, KP & Chung, CY 2006, Locating type-1 load flow solutions using hybrid evolutionary algorithm. in Proceedings of the 2006 International Conference on Machine Learning and Cybernetics., 4028788, Proceedings of the 2006 International Conference on Machine Learning and Cybernetics, vol. 2006, pp. 4093-4098, 2006 International Conference on Machine Learning and Cybernetics, Dalian, China, 13/08/06. https://doi.org/10.1109/ICMLC.2006.258867

Locating type-1 load flow solutions using hybrid evolutionary algorithm. / Ting, T. O.; Wong, K. P.; Chung, C. Y.
Proceedings of the 2006 International Conference on Machine Learning and Cybernetics. 2006. p. 4093-4098 4028788 (Proceedings of the 2006 International Conference on Machine Learning and Cybernetics; Vol. 2006).

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

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AU - Chung, C. Y.

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N2 - Conventional methods can only locate some of the Type-1 load flow solutions in power systems and the located solutions are inadequate for voltage stability assessment. This paper proposes a hybrid Genetic Algorithm / Particle Swarm Optimization algorithm for locating all the Type-1 load flow solutions. The characteristics of the Type-1 solutions are described in the paper. The hybrid algorithm is applied to two test systems. The test results obtained are satisfactory and promising for voltage stability monitoring applications.

AB - Conventional methods can only locate some of the Type-1 load flow solutions in power systems and the located solutions are inadequate for voltage stability assessment. This paper proposes a hybrid Genetic Algorithm / Particle Swarm Optimization algorithm for locating all the Type-1 load flow solutions. The characteristics of the Type-1 solutions are described in the paper. The hybrid algorithm is applied to two test systems. The test results obtained are satisfactory and promising for voltage stability monitoring applications.

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KW - Hybrid evolutionary algorithm

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KW - Voltage stability

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Locating type-1 load flow solutions using hybrid evolutionary algorithm

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

More information

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