Hybrid immune genetic method for dynamic reactive power optimization

Fang Liu, C. Y. Chung, K. P. Wong, Wei Yan, Guoyu Xu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

18 Citations (Scopus)

Abstract

In this paper, a hybrid optimization technique, in which immune genetic algorithm is combined with interior point method, is proposed for solving the dynamic reactive power optimization problem. The switching time limits of shunt capacitors and transformer tap ratios, which make the problem to be dynamic, are only related with discrete variables. In the proposed hybrid method, the immune genetic algorithm deals with the discrete variables, such as the adjustment schedules of shunt capacitors or transformer tap ratios; interior point method deals with the continuous variables, such as the voltage/reactive profiles of generators. An improved encoding scheme of the immune genetic algorithm is also introduced so that the time-related dynamic constraints of discrete variables can be satisfied automatically. The proposed method has been applied to IEEE 14 bus system over a 24-hour period to demonstrate its effectiveness.

Original languageEnglish
Title of host publication2006 International Conference on Power System Technology, POWERCON2006
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)1424401119, 9781424401116
DOIs
Publication statusPublished - Oct 2006
Event2006 International Conference on Power System Technology, POWERCON2006 - Chongqing, China
Duration: 22 Oct 200626 Oct 2006

Publication series

Name2006 International Conference on Power System Technology, POWERCON2006

Conference

Conference2006 International Conference on Power System Technology, POWERCON2006
Country/TerritoryChina
CityChongqing
Period22/10/0626/10/06

Keywords

  • Genetic algorithm
  • Immune system
  • Interior point method
  • Nonlinear programming
  • Optimal reactive power flow

ASJC Scopus subject areas

  • Energy Engineering and Power Technology

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