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

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

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)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. © 2005 IEEE.
Original languageEnglish
Title of host publicationProceedings of the IEEE International Conference on Industrial Technology
Pages158-163
Volume2005
DOIs
Publication statusPublished - 2005
Event2005 IEEE International Conference on Industrial Technology, ICIT 2005 - Hong Kong, Hong Kong, China
Duration: 14 Dec 200517 Dec 2005

Publication series

Name
Volume2005

Conference

Conference2005 IEEE International Conference on Industrial Technology, ICIT 2005
PlaceHong Kong, China
CityHong Kong
Period14/12/0517/12/05

Research Keywords

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

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