Optimization of Impedance Relay Placement in Medium-Voltage Electrical Distribution Systems through Clustering Algorithms and Metaheuristics

Josue Arpi, Anthony Zambrano, Pablo Robles and Danny Ochoa-Correa ()
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Josue Arpi: Program in Electrical Engineering, Master’s Program in Electrical Engineering, Smart Grid Research Group, Salesian Polytechnic University, Cuenca 010205, Ecuador
Anthony Zambrano: Program in Electrical Engineering, Master’s Program in Electrical Engineering, Smart Grid Research Group, Salesian Polytechnic University, Cuenca 010205, Ecuador
Pablo Robles: Program in Electrical Engineering, Master’s Program in Electrical Engineering, Smart Grid Research Group, Salesian Polytechnic University, Cuenca 010205, Ecuador
Danny Ochoa-Correa: Department of Electrical Engineering, Electronics and Telecommunications, University of Cuenca, Cuenca 010107, Ecuador

Energies, 2024, vol. 17, issue 12, 1-20

Abstract: This study explores the feasibility of using impedance relays in electrical distribution systems, a context where their application is not as common as in transmission systems. Given the dynamic nature and complex topology of medium-voltage distribution systems, this work proposes an innovative methodology integrating clustering algorithms and metaheuristic techniques to optimize the placement of impedance relays and enhance system reliability and resilience. Using CYME simulation and the Ant Colony Optimization (ACO) method, case studies were designed to validate the effectiveness of the proposed methodology. The results demonstrated that strategic placement of impedance relays reduces failure frequency and significantly improves the system’s response to such failures. This approach allows for a more efficient configuration and quicker response, which is crucial for maintaining continuity and quality of power supply. A detailed analysis of system behavior under various fault scenarios illustrates the robustness and adaptability of the proposed solution, marking a significant advancement in the protection and optimization of electrical distribution systems.

Keywords: impedance relays; distribution systems; clustering; metaheuristic optimization; reliability; electrical protection (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: 2024
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