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Optimizing TOC and IOC units of directional overcurrent relays in mutually coupled circuits using evolutionary PSO: Requirements and modeling.

Authors :
Bernardes, Wellington Maycon S.
Source :
Engineering Applications of Artificial Intelligence. Oct2023, Vol. 125, pN.PAG-N.PAG. 1p.
Publication Year :
2023

Abstract

The efficient coordination of directional overcurrent relays is a challenging problem. Recent papers in the literature have focused on developing efficient algorithms to solve this issue. However, there is a lack of reporting practical procedures that affects the mathematical formulation to ensure accurate outputs by any optimization algorithm. In this paper, we show a comprehensive procedure that considers mutually coupled circuits via Graph Theory, the requirements of short-circuit current calculation, contingencies to be considered as well as the setting of Instantaneous Overcurrent (IOC) and Time Overcurrent (TOC) units, both for phase and ground protection. The simulation has been carried out by using a real electric network and C++ language programming. Computational simulation has shown the performance of the method, which provides high-quality solutions, with adequate coordination of the selected protective devices that increase the efficiency in setting this type of protection with safety. Evolutionary Particle Swarm Optimization (EPSO) outperformed conventional Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) as the best metaheuristic for optimally minimizing the proposed problem, achieving faster convergence times for the phase overcurrent protection scenario (16.36 s vs. 22.27 s and 17.03 s, respectively), and also for the ground overcurrent protection scenario (19.87 s vs. 20.44 s and 20.11 s, respectively). [Display omitted] • Relay coordination considering devices from different manufactures. • Contingencies in transmission lines formed by several mutually coupled circuits. • Inclusion of mutual impedances in the relay coordination and they are processed using Graph Theory. • An optimization model that combines three performance indices using metaheuristics. • A new strategy to determine pick-up current values for phase IOC unit. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09521976
Volume :
125
Database :
Academic Search Index
Journal :
Engineering Applications of Artificial Intelligence
Publication Type :
Academic Journal
Accession number :
171111703
Full Text :
https://doi.org/10.1016/j.engappai.2023.106389