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Optimized Controller for DVR to Improve Power Quality Considering Different Fault Types Using Grassh

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International Research Journal of Engineering and Technology (IRJET)

e-ISSN: 2395-0056

Volume: 12 Issue: 09 | Sep 2025

p-ISSN: 2395-0072

www.irjet.net

Optimized Controller for DVR to Improve Power Quality Considering Different Fault Types Using Grasshopper Optimization Algorithm Lovepreet laddi1, Dr. Geena sharma2, Er.Ankush Pathania3 1,2,3Electrical engineering 1,2,3Baddi University of Emerging Science and Technology , Baddi HP

----------------------------------------------------------------------------***-------------------------------------------------------------------------ability to restore voltage under different fault conditions. ABSTRACT

The quality of power flow a great concern as it involves an abnormal voltage or current. Load side consumers are frustrated about the quality of power. Utility dissemination systems experience the ill effects of blackouts and administration intrusions and are in sensitive to modern burdens which can cost noteworthy money related losses. At the primary stage the issues are not taken care of which are dependent on process downtime, lost creation, inactive work powers and different components. By rebuilding the Power Systems through adopting the advanced technology, the issue of Power Quality adheres the current measurements to check its quality. To take care of this matter, control hardware controller based custom power gadgets are utilized. Among these, the Distribution Static Compensator (DSTATCOM) and the Dynamic Voltage Restorer (DVR) are the best available gadgets, the two are dependent on the VSI guideline. A DVR instils a voltage in arrangement with the framework voltage and a DSTATCOM instills a current into the framework to redress the power quality issues. Extensive outcomes are displayed for evaluating the execution of each and every gadget as a potential custom power arrangement. Recreation results done by MATLAB tool kit to monitor the performance of the proposed strategy. Here, we have contemplated the voltage quality enhancement techniques by utilizing Dynamic Voltage Restorer (DVR), Distribution Static Synchronous Compensator (DSTATCOM) using two different controller Strategies. The controller’s utilized are Proportional Integral Controller (PIC) and Fuzzy Logic Controller (FLC). When a PI Controller detects a discrepancy between a planned variable and the desired set point, it processes and increases the variable to meet the established benchmark. The information signals are fuzzified and spoken to in fluffy set documentations as capacities. They characterized if at that point rules deliver yield inciting signals and these signals are de-fuzzified in to simple control signals for contrasting with a bearer motion with control pulse width modulator (PWM) inverter. In this research, for the improvement of power quality different compensators like Distribution Static Compensators (DSTATCOMs) and DVR are deployed due to

The increasing complexity of modern power systems and the integration of sensitive electronic loads and renewable energy sources have intensified the need for effective power quality solutions. This study investigates the enhancement of voltage regulation using Dynamic Voltage Restorer (DVR) devices controlled by two strategies: Fuzzy Logic and the Grasshopper Optimization Algorithm (GOA). While traditional DVR-Fuzzy controllers show partial compensation during voltage sag and swell events, they often result in over- or under-compensation, leading to system inefficiencies. To address this, a novel GOA-based optimization method is proposed for DVR control tuning. The method systematically adjusts controller parameters to minimize voltage deviations and Total Harmonic Distortion (THD). Experimental simulations demonstrate that DVR-GOA consistently maintains voltage levels near the nominal 220V across all fault types and phases, outperforming DVR-Fuzzy in both sag and swell scenarios. This confirms its suitability for modern power networks requiring reliable and stable voltage support. Keywords: Dynamic Voltage Restorer, Power Quality, Grasshopper Optimization Algorithm, Voltage Sag/Swell, Fuzzy Logic Controller.

I INTRODUCTION In modern power distribution networks, power quality (PQ) is a critical concern due to increasing reliance on sensitive electronic equipment and renewable energy sources. Power quality disturbances such as voltage sags, swells, harmonics, and flickers affect the stability and efficiency of electrical systems. Among various mitigation techniques, Dynamic Voltage Restorer (DVR) is a widely adopted custom power device that compensates for voltage variations and maintains voltage stability. The performance of a DVR is highly dependent on its control strategy, which determines its effectiveness in compensating for power quality disturbances [1]. Various controllers are implemented in DVR systems to enhance its

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