Power system measurements based on fuzzy linear regression algorithm for power system protection

This paper presents a new technique for power system voltage measurements based on fuzzy linear regression. The voltage signal is assumed to have a linear relation with the voltage magnitude and the phase angle. The coefficients of this linear relation are considered as fuzzy numbers with given midd...

Full description

Saved in:
Bibliographic Details
Published in:Conference proceedings - Canadian Conference on Electrical and Computer Engineering Vol. 2; pp. 1020 - 1026 vol.2
Main Authors: Soliman, S.A., Rahman, M.H.A., El-Hawary, M.E.
Format: Conference Proceeding Journal Article
Language:English
Published: IEEE 1996
Subjects:
Discrete Fourier transforms
Frequency estimation
Fuzzy systems
Linear programming
Linear regression
Parameter estimation
Power system measurements
Power system protection
Regression analysis
Voltage measurement
ISBN:9780780331433, 0780331435
ISSN:0840-7789
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Abstract This paper presents a new technique for power system voltage measurements based on fuzzy linear regression. The voltage signal is assumed to have a linear relation with the voltage magnitude and the phase angle. The coefficients of this linear relation are considered as fuzzy numbers with given middle and spread values. The spread defines the fuzziness of the function. The proposed technique uses digitized samples of the voltage signal obtained at the relay location. The problem is formulated as a linear optimization problem, where the objective is to minimize the spread of the fuzzy output for the whole data set, which is a linear function of the spread, subject to satisfying inequality constraints. A linear programming algorithm is used to solve the associated linear optimization problem. The proposed technique is tested using nonfuzzy as well as fuzzy data.
AbstractList This paper presents a new technique for power system voltage measurements based on fuzzy linear regression. The voltage signal is assumed to have a linear relation with the voltage magnitude and the phase angle. The coefficients of this linear relation are considered as fuzzy numbers with given middle and spread values. The spread defines the fuzziness of the function. The proposed technique uses digitized samples of the voltage signal obtained at the relay location. The problem is formulated as a linear optimization problem, where the objective is to minimize the spread of the fuzzy output for the whole data set, which is a linear function of the spread, subject to satisfying inequality constraints. A linear programming algorithm is used to solve the associated linear optimization problem. The proposed technique is tested using nonfuzzy as well as fuzzy data.
Author Soliman, S.A.
Rahman, M.H.A.
El-Hawary, M.E.
Author_xml – sequence: 1
  givenname: S.A.
  surname: Soliman
  fullname: Soliman, S.A.
  organization: Dept. of Electr. Eng., Coll. of Technol. Studies, Shuwaikh, Kuwait
– sequence: 2
  givenname: M.H.A.
  surname: Rahman
  fullname: Rahman, M.H.A.
– sequence: 3
  givenname: M.E.
  surname: El-Hawary
  fullname: El-Hawary, M.E.
BookMark eNpNkMFKAzEQhgNWsK19AD3l5G1rspNukqMstQoFPeh5zXYnNbK7qUkWaZ_ehXoQfhj4-fiGmRmZ9L5HQm44W3LO9H1Zrsv1kmtdLFdCQa4uyEJLxcYAcAEwIVOmBMukVPqKzGL8YowJVYgp-Xj1PxhoPMaEHe3QxCFgh32KtDYRG-p7aofT6Uhb16MJNOA-YIxu7E2798Glz45aH-jhv-gQfMJdGqlrcmlNG3HxN-fk_XH9Vj5l25fNc_mwzRznKmXa8AaVQWN503AAW0iew8owZriuLRMowci6trlagbKsQAuNsExqlo-H72BO7s7ecfX3gDFVnYs7bFvTox9ilReQcw18BG_PoEPE6hBcZ8KxOj8OfgHkVmX3
ContentType Conference Proceeding
Journal Article
DBID 6IE
6IL
CBEJK
RIE
RIL
7SC
8FD
JQ2
L7M
L~C
L~D
DOI 10.1109/CCECE.1996.548328
DatabaseName IEEE Electronic Library (IEL) Conference Proceedings
IEEE Xplore POP ALL
IEEE Xplore All Conference Proceedings
IEEE/IET Electronic Library (IEL) (UW System Shared)
IEEE Proceedings Order Plans (POP All) 1998-Present
Computer and Information Systems Abstracts
Technology Research Database
ProQuest Computer Science Collection
Advanced Technologies Database with Aerospace
Computer and Information Systems Abstracts – Academic
Computer and Information Systems Abstracts Professional
DatabaseTitle Computer and Information Systems Abstracts
Technology Research Database
Computer and Information Systems Abstracts – Academic
Advanced Technologies Database with Aerospace
ProQuest Computer Science Collection
Computer and Information Systems Abstracts Professional
DatabaseTitleList
Computer and Information Systems Abstracts
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE/IET Electronic Library (IEL) (UW System Shared)
  url: https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
EndPage 1026 vol.2
ExternalDocumentID 548328
GroupedDBID 29F
6IE
6IF
6IH
6IK
6IL
6IM
6IN
AAJGR
AAWTH
ABLEC
ADZIZ
ALMA_UNASSIGNED_HOLDINGS
BEFXN
BFFAM
BGNUA
BKEBE
BPEOZ
CBEJK
CHZPO
IEGSK
IJVOP
IPLJI
M43
OCL
RIE
RIL
RNS
7SC
8FD
JQ2
L7M
L~C
L~D
ID FETCH-LOGICAL-i118t-9a1de8aeaf1dd133f671235a00a19bf04e73a7bbf28538f06ef3d4f07902996c3
IEDL.DBID RIE
ISBN 9780780331433
0780331435
ISSN 0840-7789
IngestDate Fri Jul 11 04:13:41 EDT 2025
Tue Aug 26 17:31:38 EDT 2025
IsPeerReviewed false
IsScholarly false
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-i118t-9a1de8aeaf1dd133f671235a00a19bf04e73a7bbf28538f06ef3d4f07902996c3
Notes SourceType-Scholarly Journals-2
ObjectType-Feature-2
ObjectType-Conference Paper-1
content type line 23
SourceType-Conference Papers & Proceedings-1
ObjectType-Article-3
PQID 26321931
PQPubID 23500
PageCount 7
ParticipantIDs proquest_miscellaneous_26321931
ieee_primary_548328
PublicationCentury 1900
PublicationDate 19960000
19960101
PublicationDateYYYYMMDD 1996-01-01
PublicationDate_xml – year: 1996
  text: 19960000
PublicationDecade 1990
PublicationTitle Conference proceedings - Canadian Conference on Electrical and Computer Engineering
PublicationTitleAbbrev CCECE
PublicationYear 1996
Publisher IEEE
Publisher_xml – name: IEEE
SSID ssj0004864
ssj0000455315
Score 1.2635376
Snippet This paper presents a new technique for power system voltage measurements based on fuzzy linear regression. The voltage signal is assumed to have a linear...
SourceID proquest
ieee
SourceType Aggregation Database
Publisher
StartPage 1020
SubjectTerms Discrete Fourier transforms
Frequency estimation
Fuzzy systems
Linear programming
Linear regression
Parameter estimation
Power system measurements
Power system protection
Regression analysis
Voltage measurement
Title Power system measurements based on fuzzy linear regression algorithm for power system protection
URI https://ieeexplore.ieee.org/document/548328
https://www.proquest.com/docview/26321931
Volume 2
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV07T8MwELZoxQALUIooTw-saZM4je05asWAqg4gdQt2fC6VaFKlCRL99dhJ-pBgYUukvHQ65b57fN8h9KSJL7XkxDGxXjiBsGRlz3YKCYBHBeGhrojCL3QyYbMZnzY62xUXBgCq4TPo28Oql6-ypLSlsoFB18RnLdSiNKypWrtyikEmxpv2yDdgtXIUswNzlPEqY2cuIRYfNMI723PSdDs9lw-iaBSNLIUv7Ndva7au_PpVV_FnfPavLz9H3T2PD093EeoCHUHaQacHEoSX6H1q16ThWtAZL_cVwzW2AU7hLMW63Gy-scWjIsc5zOvR2RSLz3mWL4qPJTbIF68OH9TIP5iruuhtPHqNnp1m64KzMMlG4XDhKWAChPaUMhmsDqnl0wrXFR6X2g2AEkGl1L6J9Ey7IWiiAu1S7prQFibkCrXTLIVrhLnvCQVDyQJfGjMzrhNJuDKgZKgVwLCHOtZU8aoW1ohrK_XQ49bUsfF128AQKWTlOrba8gZwejd_3neLTuqRalsfuUPtIi_hHh0nX8VinT9U7vIDcPq8DQ
linkProvider IEEE
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1LT8JAEN4omqgXFTHiiz14LWy7feyeCQQjEg6YcKvb7iySSEsKmMivd7ctj0Qv3tqkr0wmnW8e3zcIPSnqRCri1NKxXliuMGRl23QKKYAdCMp9lROF-8FgwMZjPix1tnMuDADkw2fQNId5L1-m8cqUyloaXVOHHaIjz3UdUpC1tgUVjU20P-2wr8sK7ShmRuYCxvOcnRFKDUIopXc257Tsd9qEt9rtTrtjSHx-s3hfuXfl1886j0Dd8399-wWq7Zh8eLiNUZfoAJIqOtsTIbxC70OzKA0Xks54tqsZLrAJcRKnCVar9fobG0QqMpzBpBieTbD4nKTZdPkxwxr74vn-g0oBCH1VDb11O6N2zyr3LlhTnW4sLS5sCUyAULaUOodVfmAYtYIQYfNIERcCKoIoUo6O9UwRHxSVriIBJzq4-TG9RpUkTeAGYe7YQoIXMdeJtJkZV3FEudSwxFMSwKujqjFVOC-kNcLCSnXU2Jg61N5uWhgigXS1CI26vIac9u2f9zXQSW_02g_7z4OXO3RaDFibask9qiyzFTyg4_hrOV1kj7nr_ABmKb9U
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=Proceedings+of+1996+Canadian+Conference+on+Electrical+and+Computer+Engineering&rft.atitle=Power+system+measurements+based+on+fuzzy+linear+regression+algorithm+for+power+system+protection&rft.au=Soliman%2C+S.A.&rft.au=Rahman%2C+M.H.A.&rft.au=El-Hawary%2C+M.E.&rft.date=1996-01-01&rft.pub=IEEE&rft.isbn=9780780331433&rft.issn=0840-7789&rft.volume=2&rft.spage=1020&rft.epage=1026+vol.2&rft_id=info:doi/10.1109%2FCCECE.1996.548328&rft.externalDocID=548328
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0840-7789&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0840-7789&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0840-7789&client=summon