Performance analysis of power system parameters for islanding detection using mathematical morphology

Islanding detection is imperative for the protection of distribution system supported by distributed generation. The accuracy of islanding detection technique mainly depends on the selection of suitable parameter. In this work, the 6 different power system parameters are classified based on sensitiv...

Full description

Bibliographic Details
Main Authors: Safdar Raza, Tauheed ur Rahman, Mazhar Saeed, Shahzad Jameel
Format: Article
Language:English
Published: Elsevier 2021-03-01
Series:Ain Shams Engineering Journal
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2090447920301891
id doaj-1ea4b8b5c96d42fe84cea16669cb6d91
record_format Article
spelling doaj-1ea4b8b5c96d42fe84cea16669cb6d912021-06-02T18:33:51ZengElsevierAin Shams Engineering Journal2090-44792021-03-01121517527Performance analysis of power system parameters for islanding detection using mathematical morphologySafdar Raza0Tauheed ur Rahman1Mazhar Saeed2Shahzad Jameel3Department of Electrical Engineering, NFC Institute of Engineering and Technology, Multan, Pakistan; Corresponding author.Department of Electrical Engineering, Bahauddin Zakariya University, Multan, PakistanDepartment of Electrical Engineering, Bahauddin Zakariya University, Multan, PakistanDepartment of Electrical Engineering, Bahauddin Zakariya University, Multan, PakistanIslanding detection is imperative for the protection of distribution system supported by distributed generation. The accuracy of islanding detection technique mainly depends on the selection of suitable parameter. In this work, the 6 different power system parameters are classified based on sensitivity and performance ability. This is the basic step in the selection of suitable parameter for islanding detection technique. The behavior of different power system parameters is examined using mathematical morphology by considering all possible islanding and non-islanding situations. It has been found, from data interpretation, that dilated reactive power parameter using inclined line structuring element indicates the best competence, among the other parameters, to detect the minute disturbances in power supply. Further, the selection of dilated reactive power parameter is justified mathematically to validate its significance. Moreover, islanding detection technique is proposed consisting of dilated reactive power parameter to distinguish the islanding from other events of similar signatures.http://www.sciencedirect.com/science/article/pii/S2090447920301891Distributed generation (DG)Islanding detectionMathematical morphologyNon-detection zonePassive parameters
collection DOAJ
language English
format Article
sources DOAJ
author Safdar Raza
Tauheed ur Rahman
Mazhar Saeed
Shahzad Jameel
spellingShingle Safdar Raza
Tauheed ur Rahman
Mazhar Saeed
Shahzad Jameel
Performance analysis of power system parameters for islanding detection using mathematical morphology
Ain Shams Engineering Journal
Distributed generation (DG)
Islanding detection
Mathematical morphology
Non-detection zone
Passive parameters
author_facet Safdar Raza
Tauheed ur Rahman
Mazhar Saeed
Shahzad Jameel
author_sort Safdar Raza
title Performance analysis of power system parameters for islanding detection using mathematical morphology
title_short Performance analysis of power system parameters for islanding detection using mathematical morphology
title_full Performance analysis of power system parameters for islanding detection using mathematical morphology
title_fullStr Performance analysis of power system parameters for islanding detection using mathematical morphology
title_full_unstemmed Performance analysis of power system parameters for islanding detection using mathematical morphology
title_sort performance analysis of power system parameters for islanding detection using mathematical morphology
publisher Elsevier
series Ain Shams Engineering Journal
issn 2090-4479
publishDate 2021-03-01
description Islanding detection is imperative for the protection of distribution system supported by distributed generation. The accuracy of islanding detection technique mainly depends on the selection of suitable parameter. In this work, the 6 different power system parameters are classified based on sensitivity and performance ability. This is the basic step in the selection of suitable parameter for islanding detection technique. The behavior of different power system parameters is examined using mathematical morphology by considering all possible islanding and non-islanding situations. It has been found, from data interpretation, that dilated reactive power parameter using inclined line structuring element indicates the best competence, among the other parameters, to detect the minute disturbances in power supply. Further, the selection of dilated reactive power parameter is justified mathematically to validate its significance. Moreover, islanding detection technique is proposed consisting of dilated reactive power parameter to distinguish the islanding from other events of similar signatures.
topic Distributed generation (DG)
Islanding detection
Mathematical morphology
Non-detection zone
Passive parameters
url http://www.sciencedirect.com/science/article/pii/S2090447920301891
work_keys_str_mv AT safdarraza performanceanalysisofpowersystemparametersforislandingdetectionusingmathematicalmorphology
AT tauheedurrahman performanceanalysisofpowersystemparametersforislandingdetectionusingmathematicalmorphology
AT mazharsaeed performanceanalysisofpowersystemparametersforislandingdetectionusingmathematicalmorphology
AT shahzadjameel performanceanalysisofpowersystemparametersforislandingdetectionusingmathematicalmorphology
_version_ 1721402145487454208