Fault section estimation in power systems using enhanced immune algorithm

Shyh Jier Huang; Xian Zong Liu

doi:10.1109/PSCE.2011.5772495

Fault section estimation in power systems using enhanced immune algorithm

Shyh Jier Huang, Xian Zong Liu

Department of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

An enhanced immune algorithm (EIA) is proposed to solve the fault section estimation problem in this paper. By simulating the relationships between antibody and antigen in the immune system, the proposed method has added the vaccine inoculation process in anticipation of further improving the computation performance to solve the fault section estimation problems. In order to validate the effectiveness of such an approach, the method has been tested through a sample systems and a real system with comparisons to other published techniques. From the test results, they reveal the feasibility of the method, meanwhile confirming the method as a forewarning aid to distribution maintenance work.

Original language	English
Title of host publication	2011 IEEE/PES Power Systems Conference and Exposition, PSCE 2011
DOIs	https://doi.org/10.1109/PSCE.2011.5772495
Publication status	Published - 2011
Event	2011 IEEE/PES Power Systems Conference and Exposition, PSCE 2011 - Phoenix, AZ, United States Duration: 2011 Mar 20 → 2011 Mar 23

Publication series

Name	2011 IEEE/PES Power Systems Conference and Exposition, PSCE 2011

Other

Other	2011 IEEE/PES Power Systems Conference and Exposition, PSCE 2011
Country/Territory	United States
City	Phoenix, AZ
Period	11-03-20 → 11-03-23

All Science Journal Classification (ASJC) codes

Energy Engineering and Power Technology

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/PSCE.2011.5772495

Cite this

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title = "Fault section estimation in power systems using enhanced immune algorithm",

abstract = "An enhanced immune algorithm (EIA) is proposed to solve the fault section estimation problem in this paper. By simulating the relationships between antibody and antigen in the immune system, the proposed method has added the vaccine inoculation process in anticipation of further improving the computation performance to solve the fault section estimation problems. In order to validate the effectiveness of such an approach, the method has been tested through a sample systems and a real system with comparisons to other published techniques. From the test results, they reveal the feasibility of the method, meanwhile confirming the method as a forewarning aid to distribution maintenance work.",

author = "Huang, {Shyh Jier} and Liu, {Xian Zong}",

year = "2011",

doi = "10.1109/PSCE.2011.5772495",

language = "English",

isbn = "9781612847870",

series = "2011 IEEE/PES Power Systems Conference and Exposition, PSCE 2011",

booktitle = "2011 IEEE/PES Power Systems Conference and Exposition, PSCE 2011",

note = "2011 IEEE/PES Power Systems Conference and Exposition, PSCE 2011 ; Conference date: 20-03-2011 Through 23-03-2011",

}

Huang, SJ & Liu, XZ 2011, Fault section estimation in power systems using enhanced immune algorithm. in 2011 IEEE/PES Power Systems Conference and Exposition, PSCE 2011., 5772495, 2011 IEEE/PES Power Systems Conference and Exposition, PSCE 2011, 2011 IEEE/PES Power Systems Conference and Exposition, PSCE 2011, Phoenix, AZ, United States, 11-03-20. https://doi.org/10.1109/PSCE.2011.5772495

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AU - Huang, Shyh Jier

AU - Liu, Xian Zong

PY - 2011

Y1 - 2011

N2 - An enhanced immune algorithm (EIA) is proposed to solve the fault section estimation problem in this paper. By simulating the relationships between antibody and antigen in the immune system, the proposed method has added the vaccine inoculation process in anticipation of further improving the computation performance to solve the fault section estimation problems. In order to validate the effectiveness of such an approach, the method has been tested through a sample systems and a real system with comparisons to other published techniques. From the test results, they reveal the feasibility of the method, meanwhile confirming the method as a forewarning aid to distribution maintenance work.

AB - An enhanced immune algorithm (EIA) is proposed to solve the fault section estimation problem in this paper. By simulating the relationships between antibody and antigen in the immune system, the proposed method has added the vaccine inoculation process in anticipation of further improving the computation performance to solve the fault section estimation problems. In order to validate the effectiveness of such an approach, the method has been tested through a sample systems and a real system with comparisons to other published techniques. From the test results, they reveal the feasibility of the method, meanwhile confirming the method as a forewarning aid to distribution maintenance work.

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DO - 10.1109/PSCE.2011.5772495

M3 - Conference contribution

AN - SCOPUS:79958819767

SN - 9781612847870

T3 - 2011 IEEE/PES Power Systems Conference and Exposition, PSCE 2011

BT - 2011 IEEE/PES Power Systems Conference and Exposition, PSCE 2011

T2 - 2011 IEEE/PES Power Systems Conference and Exposition, PSCE 2011

Y2 - 20 March 2011 through 23 March 2011

ER -

Fault section estimation in power systems using enhanced immune algorithm

Abstract

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All Science Journal Classification (ASJC) codes

UN SDGs

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