An Optimized Adaptive Protection Scheme for Numerical and Directional Overcurrent Relay Coordination Using Harris Hawk Optimization

Muhammad Irfan, Abdul Wadood, Tahir Khurshaid, Bakht Muhammad Khan, Ki-Chai Kim, Seung-Ryle Oh and Sang-Bong Rhee
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Muhammad Irfan: Department of Electrical Engineering, Yeungnam University, Gyeongsan 38541, Korea
Abdul Wadood: Department of Electrical Engineering, Air University Islamabad, Kamra Campus, Kamra 43750, Pakistan
Tahir Khurshaid: Department of Electrical Engineering, Yeungnam University, Gyeongsan 38541, Korea
Bakht Muhammad Khan: Department of Electrical Engineering, Air University Islamabad, Kamra Campus, Kamra 43750, Pakistan
Ki-Chai Kim: Department of Electrical Engineering, Yeungnam University, Gyeongsan 38541, Korea
Seung-Ryle Oh: Korea Electric Power Company (KEPCO), Deajon 24056, Korea
Sang-Bong Rhee: Department of Electrical Engineering, Yeungnam University, Gyeongsan 38541, Korea

Energies, 2021, vol. 14, issue 18, 1-21

Abstract: The relay coordination problem is of dire importance as it is critical to isolate the faulty portion in a timely way and thus ensure electrical network security and reliability. Meanwhile a relay protection optimization problem is highly constraint and complicated problem to be addressed. To fulfill this purpose, Harris Hawk Optimization (HHO) is adapted to solve the optimization problem for Directional Over-current Relays (DOCRs) and numerical relays. As it is inspired by the intelligent and collegial chasing and preying behavior of hawks for capturing the prey, it shows quite an impressive result for finding the global optimum values. Two decision variables; Time Dial Settings (TDS) and Plug Settings (PS) are chosen as the decision variables for minimization of overall operating time of relays. The proposed algorithm is implemented on three IEEE test systems. In comparison to other state-of-the-art nature inspired and traditional algorithms, the results demonstrate the superiority of HHO.

Keywords: directional overcurrent relays; numerical overcurrent relays; nature-inspired optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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