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Self-tuned fuzzy-proportional–integral compensated zero/minimum active power algorithm based dynamic voltage restorer

Self-tuned fuzzy-proportional–integral compensated zero/minimum active power algorithm based dynamic voltage restorer

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Voltage sag is the most common and severe power quality problem in the recent times due to its detrimental effects on modern sensitive equipment. Generally, direct-on-line starting of the three-phase induction motor (IM) and various kinds of short circuit fault are directly responsible for this event. This study investigates the impacts of starting and stopping of two three-phase IMs on the load voltage profile. To be more critical, two three-phase short circuit faults and one unsymmetrical fault are also simulated in the same network at different instants of time. A simple control algorithm of a real power optimised dynamic voltage restorer (DVR) with a reduced power factor strategy is presented to protect the sensitive load from these types of detrimental events. A novel fuzzy-proportional–integral based self-tuned control methodology is implemented in the proposed work to compensate the loss in the DVR circuit as well as to regulate the load voltage and the direct current link voltage. The results show the effectiveness of the adopted control scheme in DVR application to mitigate the voltage sag.

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