Application of immune-based optimization method for fault-section estimation in a distribution system

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40 Citations (Scopus)

Abstract

In this paper, an immune algorithm-based (IA-based) optimization approach for the fault-section estimation of a distribution system is proposed. To apply the method to solve this estimation problem, each section of power system model can be considered as an antibody. Through the immunology evolution, an antibody that most fits the antigen of concern becomes the solution. An affinity calculation has been employed in this computation process to measure the combination intensity. As this method can operate the population of antibodies simultaneously, the process stagnation can be better prevented. The proposed approach has been tested on Taiwan Power System (Taipower) through the utility data. Test results demonstrated the feasibility and effectiveness of the method for the applications.

Original languageEnglish
Pages (from-to)779-784
Number of pages6
JournalIEEE Transactions on Power Delivery
Volume17
Issue number3
DOIs
Publication statusPublished - 2002 Jul 1

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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