Abstract :

Power Quality Disturbances Such As Voltage Sags, Swells, And Interruptions Significantly Affect The Performance And Reliability Of Sensitive Electrical Equipment. Dynamic Voltage Restorers (DVRs) Have Emerged As An Efficient Custom Power Device To Mitigate These Issues By Injecting Appropriate Compensating Voltages Into The Distribution System. This Paper Presents An Improved DVR System Integrated With An Energy Storage Device And Controlled By An Artificial Neural Network (ANN) To Achieve Robust And Adaptive Compensation. The Incorporation Of The Energy Storage Device Ensures Sustained Support During Long-duration Voltage Events, While The ANN Controller Enhances Dynamic Performance By Providing Nonlinear Mapping And Selflearning Capabilities For Rapid Control Action. The Proposed Method Improves Compensation Accuracy, Minimizes Transient Distortions, And Ensures Uninterrupted Operation Of Sensitive Loads. Simulation Results Validate The Effectiveness Of The DVR With ANN Control, Demonstrating Superior Performance Compared To Conventional PI And Fuzzy-based Controllers In Mitigating Voltage Sags, Swells, And Interruptions. The Approach Offers A Promising Solution For Maintaining Power Quality In Modern Distribution Networks With Increasing Penetration Of Sensitive And Critical Loads.

Published:

25-10-2025

Issue:

Vol. 25 No. 10 (2025)

Page Nos:

118-126

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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