| Summary: | This research aims to address the problem of voltage sag, which is a significant power quality issue in power systems. Voltage sag can cause power transmission and distribution lines to trip, causing electrical equipment to fail. To mitigate the effects of voltage sag, many voltage sag mitigation devices have been created. The effectiveness of three types of voltage sag mitigation devices under diverse voltage sag scenarios is investigated in this study: three-phase fault, multi-phase fault, and energizing transformer inrush current. Dynamic Voltage Restorer (DVR) with Park's transformation, DVR with Artificial Neural Network (ANN) controller, and PWM-switched autotransformer with Proportional-Integral (PI) controller are the three mitigations investigated. The MATLAB simulation results show that all voltage sag circumstances have been avoided except for PWM-switched autotransformer during voltage sag induced by energizing transformer inrush current due to PI controller scheme restrictions. Based on the analysis of input and output voltage waveforms, three-phase voltage magnitude before and after mitigation, and Total Harmonic Distortion (THD) value after mitigation, DVR with ANN controller is found to be the most effective voltage sag mitigation device, followed by DVR with Park's transformation and PWM-switched autotransformer.
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