Adaptive fuzzy-PI controlled dynamic voltage restorer for mitigating voltage sags.

Area of Science:

• Electrical Engineering
• Power Systems Engineering

Background:

• Sensitive loads require stable voltage for reliable operation.
• Voltage sags from motor starting and faults disrupt power quality.

Purpose of the Study:

• To introduce a high-performance Dynamic Voltage Restorer (DVR).
• To mitigate voltage sags and phase disruptions in distribution networks.

Main Methods:

• Utilized a hybrid DC energy storage system (supercapacitor and PEMFC).
• Implemented a multi-input single boost converter with intelligent energy management.
• Employed a fuzzy gain-scheduled PI controller for adaptive voltage restoration.

Main Results:

• Demonstrated significant improvements in voltage profile restoration.
• Achieved sustained system stability without over-modulation.
• Effectively reduced sag indices, minimizing voltage sag severity.

Conclusions:

• The proposed DVR offers a scalable and resilient solution for power quality challenges.
• The hybrid energy storage ensures reliable support during various voltage sag durations.
• Validated effectiveness on an experimental low-voltage setup.