Estimating Power Factor of Induction Motors Using Regression Technique

Induction motors are one of the largest power consumers in electrical systems, significantly influencing power quality. This research aims to address the challenges associated with low power factor conditions, which can lead to penalties and losses in electrical grids. Traditional methods for measuring power factor, such as zero crossing and instantaneous power methods, require direct access to motor voltage and current waveforms, which can be costly and disruptive. In this study, a regression analysis technique is proposed to estimate the power factor of induction motors under various loading conditions, thus providing a non-intrusive alternative to existing measurement strategies. The effectiveness of the method is validated through a comparison of estimated and measured power factor data from induction motors, demonstrating the feasibility and accuracy of the regression approach in practical applications. This research contributes to improved monitoring and management of power quality in industrial settings where induction motors are prevalent.