Control strategy for multi-objective coordinate voltage control using hierarchical genetic algorithms

H. M. Ma; K. F. Man; D. J. Hill

doi:10.1109/ICIT.2005.1600628

Control strategy for multi-objective coordinate voltage control using hierarchical genetic algorithms

H. M. Ma, K. F. Man, D. J. Hill

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

14 Citations (Scopus)

Abstract

Hierarchical genetic algorithm (HGA) is proposed for optimizing the power voltage control systems according to number of control actions. The advantage of HGA is its capability in control the parametric genes of chromosome. In this paper, we apply HGA to find out the optimal solution for coordinate voltage control in a simple six buses power system. The number of control actions is fixed from one to six by HGA. Because of the multi-objective classification of the obtained solutions, all these solutions could therefore form a landscape of control pattern which is aptly applicable to the control purpose of coordinate power control system. The application of the proposed paradigm is demonstrated through simulation and the results obtained suggested that the speed of voltage recovery in some degree related with the number of actions of control when emergency happened. The effective of control is influenced by the location of control devices and the system structure.

Original language	English
Title of host publication	2005 IEEE International Conference on Industrial Technology, ICIT 2005
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	158-163
Number of pages	6
ISBN (Print)	0780394844, 9780780394841
DOIs	https://doi.org/10.1109/ICIT.2005.1600628
Publication status	Published - 2005
Externally published	Yes
Event	IEEE International Conference on Industrial Technology 2005 - Hong Kong, China Duration: 14 Dec 2005 → 17 Dec 2005 https://ieeexplore.ieee.org/xpl/conhome/10667/proceeding (Proceedings)

Conference

Conference	IEEE International Conference on Industrial Technology 2005
Abbreviated title	ICIT 2005
Country/Territory	China
City	Hong Kong
Period	14/12/05 → 17/12/05
Internet address	https://ieeexplore.ieee.org/xpl/conhome/10667/proceeding (Proceedings)

Keywords

Coordinate voltage control
Hierarchical genetic algorithm
Multi-objective optimization
Pareto front

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10.1109/ICIT.2005.1600628

Cite this

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title = "Control strategy for multi-objective coordinate voltage control using hierarchical genetic algorithms",

abstract = "Hierarchical genetic algorithm (HGA) is proposed for optimizing the power voltage control systems according to number of control actions. The advantage of HGA is its capability in control the parametric genes of chromosome. In this paper, we apply HGA to find out the optimal solution for coordinate voltage control in a simple six buses power system. The number of control actions is fixed from one to six by HGA. Because of the multi-objective classification of the obtained solutions, all these solutions could therefore form a landscape of control pattern which is aptly applicable to the control purpose of coordinate power control system. The application of the proposed paradigm is demonstrated through simulation and the results obtained suggested that the speed of voltage recovery in some degree related with the number of actions of control when emergency happened. The effective of control is influenced by the location of control devices and the system structure.",

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author = "Ma, {H. M.} and Man, {K. F.} and Hill, {D. J.}",

year = "2005",

doi = "10.1109/ICIT.2005.1600628",

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pages = "158--163",

booktitle = "2005 IEEE International Conference on Industrial Technology, ICIT 2005",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

note = "IEEE International Conference on Industrial Technology 2005, ICIT 2005 ; Conference date: 14-12-2005 Through 17-12-2005",

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Ma, HM, Man, KF & Hill, DJ 2005, Control strategy for multi-objective coordinate voltage control using hierarchical genetic algorithms. in 2005 IEEE International Conference on Industrial Technology, ICIT 2005. IEEE, Institute of Electrical and Electronics Engineers, pp. 158-163, IEEE International Conference on Industrial Technology 2005, Hong Kong, China, 14/12/05. https://doi.org/10.1109/ICIT.2005.1600628

Control strategy for multi-objective coordinate voltage control using hierarchical genetic algorithms. / Ma, H. M.; Man, K. F.; Hill, D. J.
2005 IEEE International Conference on Industrial Technology, ICIT 2005. IEEE, Institute of Electrical and Electronics Engineers, 2005. p. 158-163.

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

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T1 - Control strategy for multi-objective coordinate voltage control using hierarchical genetic algorithms

AU - Ma, H. M.

AU - Man, K. F.

AU - Hill, D. J.

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N2 - Hierarchical genetic algorithm (HGA) is proposed for optimizing the power voltage control systems according to number of control actions. The advantage of HGA is its capability in control the parametric genes of chromosome. In this paper, we apply HGA to find out the optimal solution for coordinate voltage control in a simple six buses power system. The number of control actions is fixed from one to six by HGA. Because of the multi-objective classification of the obtained solutions, all these solutions could therefore form a landscape of control pattern which is aptly applicable to the control purpose of coordinate power control system. The application of the proposed paradigm is demonstrated through simulation and the results obtained suggested that the speed of voltage recovery in some degree related with the number of actions of control when emergency happened. The effective of control is influenced by the location of control devices and the system structure.

AB - Hierarchical genetic algorithm (HGA) is proposed for optimizing the power voltage control systems according to number of control actions. The advantage of HGA is its capability in control the parametric genes of chromosome. In this paper, we apply HGA to find out the optimal solution for coordinate voltage control in a simple six buses power system. The number of control actions is fixed from one to six by HGA. Because of the multi-objective classification of the obtained solutions, all these solutions could therefore form a landscape of control pattern which is aptly applicable to the control purpose of coordinate power control system. The application of the proposed paradigm is demonstrated through simulation and the results obtained suggested that the speed of voltage recovery in some degree related with the number of actions of control when emergency happened. The effective of control is influenced by the location of control devices and the system structure.

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KW - Hierarchical genetic algorithm

KW - Multi-objective optimization

KW - Pareto front

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Control strategy for multi-objective coordinate voltage control using hierarchical genetic algorithms

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