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Optimal coordination of over current relay using opposition learning-based gravitational search algorithm
- Source :
- The Journal of Supercomputing. 77:10721-10741
- Publication Year :
- 2021
- Publisher :
- Springer Science and Business Media LLC, 2021.
-
Abstract
- In this paper, the optimum coordination of over current relay in distribution system has been performed. The time dial setting (TDS) of over current relay is optimized by minimizing total operating time of relays. As the power system is a complex and highly interconnected, the complexity may be occurred in calculating optimum relay coordination time (TDS, phase setting etc.) by conventional or analytical methods. Therefore, an opposition learning-based gravitational search algorithm (OLGSA) is proposed for relay coordination optimization problem. The proposed optimization method can search the optimum solution for relay coordination problem from both the direction (initial populations and their opposite direction populations) in search space to reach global solution as early as possible. Three different distribution power systems are considered to verify the performance of the proposed algorithm for optimum relay coordination problem. The simulation results for all three cases have been compared with existing results. The outcome of the proposed method for relay coordination problem shows that the total relay operating time is minimized (20–40 % improvement in relay total operating time for different cases) comparably than available results for all three cases by maintaining coordinations among relays and satisfying different constraints.
- Subjects :
- 020203 distributed computing
Optimization problem
Computer science
Gravitational search algorithm
Phase (waves)
02 engineering and technology
Outcome (probability)
Theoretical Computer Science
Overcurrent
law.invention
Hardware and Architecture
Control theory
Relay
law
Computer Science::Networking and Internet Architecture
0202 electrical engineering, electronic engineering, information engineering
Software
Computer Science::Information Theory
Information Systems
Subjects
Details
- ISSN :
- 15730484 and 09208542
- Volume :
- 77
- Database :
- OpenAIRE
- Journal :
- The Journal of Supercomputing
- Accession number :
- edsair.doi...........4310a895a1ba72f16e6e721844edcb7d