Abstract

Power quality in underground mining systems is a critical factor affecting the reliability, safety, and energy efficiency of electrically driven equipment operating under harsh and highly variable conditions. The increasing penetration of high-power electric drives, frequency converters, and automated control systems has intensified power quality disturbances such as voltage deviations, harmonic distortion, flicker, and transient events. This study presents a multifactor approach to power quality analysis in underground mining environments, integrating electrical, operational, and environmental factors that jointly influence network performance. The proposed framework combines standardized power quality indicators with operational parameters, including load variability, equipment operating modes, and network topology characteristics. Field measurements conducted in underground mine power networks are analyzed using statistical and signal-processing techniques to identify dominant disturbance sources and their interactions. The results demonstrate that power quality degradation cannot be attributed to single factors in isolation, but rather to complex interdependencies between equipment behavior and network conditions. The proposed multifactor methodology enables a more comprehensive assessment of power quality, supports informed decision-making for mitigation strategies, and contributes to improving the reliability and sustainability of underground mining power systems.

Keywords: power quality; underground mining; electrical power systems; harmonic distortion; voltage deviations; multifactor analysis; frequency converters

References

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