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...
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2090447920301891 |
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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 |
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1721402145487454208 |