Research on Fault Diagnosis of Power System Based on Adaptive Immune Genetic Algorithm-Reference-Cited by-同舟云学术

Research on Fault Diagnosis of Power System Based on Adaptive Immune Genetic Algorithm

Published:2013-09 Issue: Volume:816-817 Page:812-816
ISSN:1662-8985
Container-title:Advanced Materials Research
language:
Short-container-title:AMR

Author:

Li Xiao Quan¹,Wang Jing Chen¹,Li Run Ling²,Sun An Quan¹

Affiliation:

1. Air Force Engineering University

2. Beijing Keeven Avation Instrument Co. Lid.

Abstract

In this article, the fault problem of power system is investigated with an adaptive immune genetic algorithm (AIGA) for the complications of fault. By introducing new crossover rate and mutation rate, considering the general characteristics of population, vaccines are extracted with dynamic self-adaption approach, thus avoiding the disadvantage of standard genetic algorithm. On the other hand, with the idea of survival of the fittest, the antibody population with low fitness is replaced by parts of new antibody generated randomly, which allows the variety of population. A general power system is employed to show the efficiency of the new method.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Link

https://www.scientific.net/AMR.816-817.812.pdf

Reference9 articles.

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