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Comparative Evaluation of Solvers for Overcurrent Relay Setting
Evaluación comparativa de solucionadores para el ajuste del relé de sobre corriente
DOI:
https://doi.org/10.15446/sicel.v12.120597Palabras clave:
Optimization, overcurrent relay, python, programming (en)Optimización, overcurrent relay, python, programación (es)
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The coordination of inverse-time overcurrent protection relays (51 relays) requires careful consideration to achieve an appropriate balance of selectivity, speed, and reliability when the system is subjected to faults. This study presents an evaluation of optimization algorithms using both linear and nonlinear programming methods available in Python’s SciPy library. The setting parameters considered are the Time Dial Setting (TDS), Pickup Setting (PS), and Time-Current Characteristic (TCC) curves, which must be efficiently configured. Several solvers were analyzed, including: highs, highs-ds, highs-ipm, simplex, revised simplex, interior-point, COBYLA, SLSQP, and trust-constr. Each was evaluated based on three criteria: relay operating time, sensitivity to fault current, and computational efficiency. The results indicate that the differences in total solver execution times are minimal, on the order of 1×10⁻⁷ seconds. However, highs-ipm and COBYLA demonstrated superior performance in terms of both speed and accuracy. Moreover, the inclusion of multiple setting parameters significantly enhances the overall effectiveness of the protection system. The study concludes that the optimal solver choice depends on the trade-off between computational time and solution accuracy. This research lays a strong foundation for future work involving the application of linear and nonlinear programming techniques in relay protection settings.
La coordinación del relé de protección de sobrecorriente de tiempo inverso o relés 51 requiere de una atención especial para lograr un equilibrio adecuado de selectividad, rapidez y confiabilidad en el sistema ante fallas. Este estudio plantea una evaluación de los algoritmos de optimización con la programación lineal y no lineal, contenidas en la biblioteca SciPy de Python, los parámetros de ajuste son: Time Dial Setting (TDS), Pickup Setting (PS) y Curvas Características de Tiempo (TCC) sean establecidos de forma eficientemente. Se estudiaron varios algoritmos con distintos solucionadores como: highs, highs-ds, highs-ipm, simplex, reviEDS simplex, interior-point, COBYLA, SLSQP y trust-constr, evaluándolos bajo tres criterios: el tiempo de operación del relé, sensibilidad a la corriente de falla y eficiencia computacional. Los resultados obtenidos muestran que la diferencia es de tan solo 1x10-7 entre los tiempos totales de operación del solucionador, pero se destacan sobre el resto “highs-ipm” y “COBYLA” destacan por su rapidez y precisión. Además, la adición de múltiples variables de ajuste optimiza notablemente el funcionamiento del sistema de protección. Se concluye que la elección del solucionador depende de la compensación entre precisión y tiempo de computación. El estudio proporciona una base sólida para futuras investigaciones que apliquen programación lineal o no lineal a configuraciones de protección.
Referencias
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Derechos de autor 2025 Anthony Molina, Ricardo Villacrés, John Morales, Gaston Suvire
Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.
