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International Journal of Thin Film Science and Technology
An International Journal
               
 
 
 
 
 
 
 
 
 
 
 
 

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Volumes > Vol. 15 > No. 2

 
   

Advanced Technology for Sustainable Power Quality: Open UPQC Control Strategies from Developed Grid Frameworks

PP: 141-153
Author(s)
Prakruthi Parthasarathy, Ezhilarasan Ganesan,
Abstract
In this study, we investigate the integration of thin-film-based voltage sensing concepts with an Open-type Unified Power Quality Conditioner (Open-UPQC) controlled by Model Predictive Control (MPC) to mitigate voltage sag and swell disturbances in renewable-integrated distribution networks. Recent advances in thin-film sensing technologies have enabled compact, high-sensitivity voltage monitoring elements suitable for smart power systems. This work explores how such sensing principles can support fast and accurate disturbance detection within a UPQC compensation scheme. The proposed Open-UPQC is implemented in the Matlab simulation platform to mitigate voltage magnitude disturbances in a 230 V single- phase AC distribution system. An MPC strategy regulates the series and shunt voltage source converters of the Open-UPQC, enabling rapid and precise voltage compensation during sag and swell events; the controller predicts system behaviour over a finite horizon and generates optimal switching actions to restore the load voltage to its rated value under dynamic grid conditions, with the underlying sensing layer informing the accuracy of these predictions. Simulation studies are performed for typical sag and swell scenarios to validate the compensation effectiveness of the proposed controller. Results confirm that the MPC-based Open-UPQC, supported by thin-film sensing principles, achieves rapid voltage restoration, stable transient performance, and strong robustness against load variations. The proposed approach offers a sustainable and reliable solution for improving voltage stability in 230 V renewable-supported distribution networks, with particular relevance to power-sensitive industrial applications such as thin-film manufacturing systems.

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