LAPSE

LAPSE:2019.0400
Published Article
LAPSE:2019.0400
A Fault-Tolerant Location Approach for Transient Voltage Disturbance Source Based on Information Fusion
Guoqing Weng, Feiteng Huang, Jun Yan, Xiaodong Yang, Youbing Zhang, Haibo He
February 27, 2019
This paper proposed a fault-tolerant approach based on information fusion (IF) to automatically locate the transient voltage disturbance source (TVDS) in smart distribution grids. We first defined three credibility factors that will influence the reliability of the direction-judgments at each power quality monitor (PQM). Then we proposed two rules of influence and a verification factor for the distributed generation (DG) integration. Based on the two sets of direction-judgment criteria, a novel decision-making method with fault tolerance based on the IF theory is proposed for automatic location of the TVDS. Three critical schemes, including credibility fusion, conflict weakening, and correction for DG integration, have been integrated in the proposed fusion method, followed by a reliability evaluation of the location results. The proposed approach was validated on the IEEE 13-node test feeder, and the TVDS location results demonstrated the effectiveness and fault tolerance of the IF based approach.
Keywords
automatic location, DG integration, direction-judgment, fault tolerance, information fusion, transient voltage disturbance source
Suggested Citation
Weng G, Huang F, Yan J, Yang X, Zhang Y, He H. A Fault-Tolerant Location Approach for Transient Voltage Disturbance Source Based on Information Fusion. (2019). LAPSE:2019.0400
Author Affiliations
Weng G: College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China
Huang F: College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China
Yan J: Department of Electrical, Computer, and Biomedical Engineering, University of Rhode Island, Kingston, RI 02881, USA [ORCID]
Yang X: College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China
Zhang Y: College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China
He H: Department of Electrical, Computer, and Biomedical Engineering, University of Rhode Island, Kingston, RI 02881, USA
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Journal Name
Energies
Volume
9
Issue
12
Article Number
E1092
Year
2016
Publication Date
2016-12-20
Published Version
ISSN
1996-1073
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Original Submission
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PII: en9121092, Publication Type: Journal Article
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LAPSE:2019.0400
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doi:10.3390/en9121092
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Feb 27, 2019
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Feb 27, 2019
 
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Calvin Tsay
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