Subjects
-Abstract
High-penetration renewable energy-based generators in distribution systems cause a number of benefits and challenges for power system operators. The distribution system protection has traditionally been designed assuming the system to be radial. After connecting distributed generators (DG), part of the system may no longer be radial, which means that the coordination might not hold. The objective of protective relay coordination in an interconnected power system is to achieve selectivity without sacrificing sensitivity and fast fault clearance time. In this paper a novel method based on clonal selection algorithm of artificial immune system (AIS) is proposed for optimal coordination of overcurrent relays in distribution system connected to DGs. This method is used to find the optimal Time Setting Multiplier (TMS) and the pickup current (Ip). The proposed algorithm is utilized to obtain the optimal setting of overcurrent relays and make it adaptive with any DG penetration level and location. The coordination of directional overcurrent relays (DOCR) by this algorithm is implemented on a 5- buses distribution system.
DOI
10.21608/bfemu.2020.102738
Keywords
Distributed generation, Artificial Immune System, Directional overcurrent relay Coordination, Adaptive overcurrent relay
Authors
MiddleName
-Affiliation
Electrical Power Engineering Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt.
Email
-Orcid
-Affiliation
Professor of Electrical Engineering Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt.
Email
-City
-Orcid
-MiddleName
-Affiliation
Electrical Engineering., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt.
Email
-Orcid
-MiddleName
-Affiliation
Researcher at Electrical Engineering Department., Faculty of Engineering., El-Mansoura University., Egypt
work at El-Nasr for fertilizers and chemical industries, Suez, Egypt
Email
-Orcid
-Link
https://bfemu.journals.ekb.eg/article_102738.html
Detail API
https://bfemu.journals.ekb.eg/service?article_code=102738
Publication Title
MEJ. Mansoura Engineering Journal
Publication Link
https://bfemu.journals.ekb.eg/
MainTitle
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