Optimal Directional Overcurrent Relay Coordination Using Artificial Immune Algorithm.

Hatata, A.; Kaddah, Sahar Sidky; Abdraboh, H.; Frahat, M.

doi:10.21608/bfemu.2020.102738

Optimal Directional Overcurrent Relay Coordination Using Artificial Immune Algorithm.

Document Type : Research Studies

Authors

¹ Electrical Power Engineering Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt.

² Professor of Electrical Engineering Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt.

³ Electrical Engineering., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt.

⁴ Researcher at Electrical Engineering Department., Faculty of Engineering., El-Mansoura University., Egypt work at El-Nasr for fertilizers and chemical industries, Suez, Egypt

10.21608/bfemu.2020.102738

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.

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