Optimal Allocation of Directional Relay for Efficient Energy Optimization in a Radial Distribution System
Tahir Khurshaid,
Abdul Wadood,
Saeid Gholami Frakoush,
Tae-Hwan Kim,
Ki-Chai Kim and
Sang-Bong Rhee
Additional contact information
Tahir Khurshaid: Department of Electrical Engineering, Yeungnam University, 280 Daehak-ro, Gyeongsan 38541, Korea
Abdul Wadood: Department of Electrical Engineering, Air University Islamabad Kamra Campus, Kamra 43570, Pakistan
Saeid Gholami Frakoush: Department of Electrical Engineering, Yeungnam University, 280 Daehak-ro, Gyeongsan 38541, Korea
Tae-Hwan Kim: Department of Electrical Engineering, Yeungnam University, 280 Daehak-ro, Gyeongsan 38541, Korea
Ki-Chai Kim: Department of Electrical Engineering, Yeungnam University, 280 Daehak-ro, Gyeongsan 38541, Korea
Sang-Bong Rhee: Department of Electrical Engineering, Yeungnam University, 280 Daehak-ro, Gyeongsan 38541, Korea
Energies, 2022, vol. 15, issue 13, 1-17
Abstract:
The optimal allocation of protective devices is a serious issue in an electrical power system; in order to reduce the possibility of faults, the protection devices should be optimally placed. The paper presents a continuous genetic algorithm (CGA) for the optimal allocation of directional relays for the efficient energy minimization in a radial distribution system (DG). The algorithm is flexible to use for the changes and improvements in the optimal location for a DG unit and can optimize the energy consumption in the radial distribution system. The proposed algorithm has been implemented on IEEE 33 and 69-bus system using MATLAB (R2014b, MathWorks). Low energy consumption is a common design objective in an energy-constrained distribution system. Engineers, power utilities, and network operators can profit from the proposed methodology to enhance the use of DG in distribution networks.
Keywords: optimization; energy conversion; genetic algorithm; power system protection; power distribution (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: 2022
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Citations: View citations in EconPapers (1)
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