Voltage sags are among the most critical power quality disturbances affecting the performance and reliability of electrical equipment. Single-phase induction motors, widely used in residential and commercial applications, are particularly vulnerable to these events due to their sensitivity to supply variations. This paper presents a simulation framework developed in MATLAB/Simulink to assess the compatibility of single-phase induction motors with a wide range of voltage sag conditions. The framework combines two key stages: (i) the generation of a motor tolerance curve by systematically applying voltage sags with increasing magnitude and duration using a modeled sag generator, and classifying motor operation as successful or failed; and (ii) system-level simulations with randomly located faults to characterize network behavior through an iso-sag contour chart. These results are integrated into a coordination chart, and an algorithm is developed to estimate the expected number of motor failures per year. The estimated tripping rates are then validated against actual simulation data, showing strong agreement and confirming the effectiveness of the proposed approach.

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A Simulation Framework for Assessing Voltage Sag Compatibility of Single-Phase Induction Motors

  • Joaquín E. Caicedo,
  • Edwin Rivas-Trujillo

摘要

Voltage sags are among the most critical power quality disturbances affecting the performance and reliability of electrical equipment. Single-phase induction motors, widely used in residential and commercial applications, are particularly vulnerable to these events due to their sensitivity to supply variations. This paper presents a simulation framework developed in MATLAB/Simulink to assess the compatibility of single-phase induction motors with a wide range of voltage sag conditions. The framework combines two key stages: (i) the generation of a motor tolerance curve by systematically applying voltage sags with increasing magnitude and duration using a modeled sag generator, and classifying motor operation as successful or failed; and (ii) system-level simulations with randomly located faults to characterize network behavior through an iso-sag contour chart. These results are integrated into a coordination chart, and an algorithm is developed to estimate the expected number of motor failures per year. The estimated tripping rates are then validated against actual simulation data, showing strong agreement and confirming the effectiveness of the proposed approach.