Analysis of Genetic-Particle Swarm Optimization Algorithm for PD Localization using Phased Arrays

Zilong Chen; Wei Cheng; Xufu Ren; Tianshuo Cui

doi:10.1109/IMCEC46724.2019.8984072

Analysis of Genetic-Particle Swarm Optimization Algorithm for PD Localization using Phased Arrays

Zilong Chen
, Wei Cheng
, Xufu Ren
, Tianshuo Cui

School of Mechanical Engineering

Xi'an Jiaotong University

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

1 Scopus citations

Abstract

This Partial discharge is an important indicator of transformer insulation degradation. In recent years, phased arrays have been proposed to locate partial discharge. To do so, the MUSIC algorithm is commonly used to estimate the Direction of Arrival. But this requires a large amount of computation in practical applications. This paper presents a hybrid genetic-particle swarm optimization algorithm to search the pseudo-spectral function of the MUSIC algorithm for the optimal solution, that is, the estimates of the pitch and azimuth angles of the partial discharge source. Simulation results show that the proposed algorithm is more accurate and converges faster than the genetic algorithm and the particle swarm optimization on their own.

Original language	English
Title of host publication	Proceedings of 2019 IEEE 3rd Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2019
Editors	Bing Xu
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	748-751
Number of pages	4
ISBN (Electronic)	9781728105130
DOIs	https://doi.org/10.1109/IMCEC46724.2019.8984072
State	Published - Oct 2019
Event	3rd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2019 - Chongqing, China Duration: 11 Oct 2019 → 13 Oct 2019

Publication series

Name	Proceedings of 2019 IEEE 3rd Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2019

Conference

Conference	3rd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2019
Country/Territory	China
City	Chongqing
Period	11/10/19 → 13/10/19

Keywords

Direction of Arrival
Genetic algorithm
Partial discharge location
Particle swarm optimization

Access to Document

10.1109/IMCEC46724.2019.8984072

Cite this

Chen, Z., Cheng, W., Ren, X., & Cui, T. (2019). Analysis of Genetic-Particle Swarm Optimization Algorithm for PD Localization using Phased Arrays. In B. Xu (Ed.), Proceedings of 2019 IEEE 3rd Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2019 (pp. 748-751). Article 8984072 (Proceedings of 2019 IEEE 3rd Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IMCEC46724.2019.8984072

Chen, Zilong ; Cheng, Wei ; Ren, Xufu et al. / Analysis of Genetic-Particle Swarm Optimization Algorithm for PD Localization using Phased Arrays. Proceedings of 2019 IEEE 3rd Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2019. editor / Bing Xu. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 748-751 (Proceedings of 2019 IEEE 3rd Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2019).

@inproceedings{c52f6cdf09fb49dfb3e454280f551e29,

title = "Analysis of Genetic-Particle Swarm Optimization Algorithm for PD Localization using Phased Arrays",

abstract = "This Partial discharge is an important indicator of transformer insulation degradation. In recent years, phased arrays have been proposed to locate partial discharge. To do so, the MUSIC algorithm is commonly used to estimate the Direction of Arrival. But this requires a large amount of computation in practical applications. This paper presents a hybrid genetic-particle swarm optimization algorithm to search the pseudo-spectral function of the MUSIC algorithm for the optimal solution, that is, the estimates of the pitch and azimuth angles of the partial discharge source. Simulation results show that the proposed algorithm is more accurate and converges faster than the genetic algorithm and the particle swarm optimization on their own.",

keywords = "Direction of Arrival, Genetic algorithm, Partial discharge location, Particle swarm optimization",

author = "Zilong Chen and Wei Cheng and Xufu Ren and Tianshuo Cui",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 3rd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2019 ; Conference date: 11-10-2019 Through 13-10-2019",

year = "2019",

month = oct,

doi = "10.1109/IMCEC46724.2019.8984072",

language = "英语",

series = "Proceedings of 2019 IEEE 3rd Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "748--751",

editor = "Bing Xu",

booktitle = "Proceedings of 2019 IEEE 3rd Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2019",

}

Chen, Z, Cheng, W, Ren, X & Cui, T 2019, Analysis of Genetic-Particle Swarm Optimization Algorithm for PD Localization using Phased Arrays. in B Xu (ed.), Proceedings of 2019 IEEE 3rd Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2019., 8984072, Proceedings of 2019 IEEE 3rd Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2019, Institute of Electrical and Electronics Engineers Inc., pp. 748-751, 3rd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2019, Chongqing, China, 11/10/19. https://doi.org/10.1109/IMCEC46724.2019.8984072

Analysis of Genetic-Particle Swarm Optimization Algorithm for PD Localization using Phased Arrays. / Chen, Zilong; Cheng, Wei; Ren, Xufu et al.
Proceedings of 2019 IEEE 3rd Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2019. ed. / Bing Xu. Institute of Electrical and Electronics Engineers Inc., 2019. p. 748-751 8984072 (Proceedings of 2019 IEEE 3rd Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2019).

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

TY - GEN

T1 - Analysis of Genetic-Particle Swarm Optimization Algorithm for PD Localization using Phased Arrays

AU - Chen, Zilong

AU - Cheng, Wei

AU - Ren, Xufu

AU - Cui, Tianshuo

PY - 2019/10

Y1 - 2019/10

N2 - This Partial discharge is an important indicator of transformer insulation degradation. In recent years, phased arrays have been proposed to locate partial discharge. To do so, the MUSIC algorithm is commonly used to estimate the Direction of Arrival. But this requires a large amount of computation in practical applications. This paper presents a hybrid genetic-particle swarm optimization algorithm to search the pseudo-spectral function of the MUSIC algorithm for the optimal solution, that is, the estimates of the pitch and azimuth angles of the partial discharge source. Simulation results show that the proposed algorithm is more accurate and converges faster than the genetic algorithm and the particle swarm optimization on their own.

AB - This Partial discharge is an important indicator of transformer insulation degradation. In recent years, phased arrays have been proposed to locate partial discharge. To do so, the MUSIC algorithm is commonly used to estimate the Direction of Arrival. But this requires a large amount of computation in practical applications. This paper presents a hybrid genetic-particle swarm optimization algorithm to search the pseudo-spectral function of the MUSIC algorithm for the optimal solution, that is, the estimates of the pitch and azimuth angles of the partial discharge source. Simulation results show that the proposed algorithm is more accurate and converges faster than the genetic algorithm and the particle swarm optimization on their own.

KW - Direction of Arrival

KW - Genetic algorithm

KW - Partial discharge location

KW - Particle swarm optimization

UR - https://www.scopus.com/pages/publications/85081155226

U2 - 10.1109/IMCEC46724.2019.8984072

DO - 10.1109/IMCEC46724.2019.8984072

M3 - 会议稿件

AN - SCOPUS:85081155226

T3 - Proceedings of 2019 IEEE 3rd Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2019

SP - 748

EP - 751

BT - Proceedings of 2019 IEEE 3rd Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2019

A2 - Xu, Bing

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2019

Y2 - 11 October 2019 through 13 October 2019

ER -

Chen Z, Cheng W, Ren X, Cui T. Analysis of Genetic-Particle Swarm Optimization Algorithm for PD Localization using Phased Arrays. In Xu B, editor, Proceedings of 2019 IEEE 3rd Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 748-751. 8984072. (Proceedings of 2019 IEEE 3rd Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2019). doi: 10.1109/IMCEC46724.2019.8984072

Analysis of Genetic-Particle Swarm Optimization Algorithm for PD Localization using Phased Arrays

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this