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

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

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Detail(s)

Original languageEnglish
Title of host publicationProceedings of the IEEE International Conference on Industrial Technology
Pages158-163
Volume2005
Publication statusPublished - 2005

Publication series

Name
Volume2005

Conference

Title2005 IEEE International Conference on Industrial Technology, ICIT 2005
PlaceHong Kong
CityHong Kong
Period14 - 17 December 2005

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. © 2005 IEEE.

Research Area(s)

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

Citation Format(s)

Control strategy for multi-objective coordinate voltage control using hierarchical genetic algorithms. / Ma, H. M.; Man, K. F.; Hill, D. J.

Proceedings of the IEEE International Conference on Industrial Technology. Vol. 2005 2005. p. 158-163 1600628.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review