Advanced Power Quality Improvement Using Re-Lift Sepic Converter and DSTATCOM with Neural Network Control

Articles in Press

Document Type : Research Article

Authors

1 Assistant Professor, Department of Electrical and Electronics Engineering, Paavai Engineering College, Namakkal, Tamil Nadu, India

2 Assistant Professor, Department of Electrical and Electronics Engineering, Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College, Chennai-600062, Tamil Nadu, India

3 Associate Professor, Department of Electrical Power and Energy Conversion, Saveetha School of Engineering, SIMATS, Chennai-602105, Tamil Nadu, India

4 Associate Professor, Department of Electrical and Electronics Engineering, Erode Sengunthar Engineering College Perundurai, Erode-638057, Tamil Nadu, India

Abstract

At present power system faces certain Power Quality (PQ) issues, due to large amount of power usage, fluctuations and other uncertainties in non-linear loads. Thus, Distribution Static Compensator (DSTATCOM) is deployed for mitigating PQ problems. A three-phase AC source system, supplying a non-linear load using parallel-Voltage Source Inverter (VSI) based DSTATCOM at Point of Common Coupling (PCC) is deployed to DC-Link which functions based on current sharing principle. A novel Re-lift Single Ended Primary Inductor Converter (SEPIC) converter is integrated with Photovoltaic (PV) to boost PV power generation, assuring consistent and sustainable power supply to DC-Link capacitor of DSTATCOM is correctly charged. To further enhance the system performance, D-Q theory/Neural Network-based Synchronous Reference Frame (SRF) theory is utilized for generating reference current for DSTATCOM. These control topologies enable accurate compensation of reactive power and harmonic currents in real-time, assuring improved grid voltage stability and rectifying distortions. Proposed system is executed using MATLAB simulation and acquired outcomes validate improved system functioning with better PQ mitigation at PCC under varying load conditions. Thus, demonstrating the impacts of integrating renewable energy with advanced control approaches.

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AUT Journal of Electrical Engineering

Articles in Press, Accepted Manuscript
Available Online from 15 April 2026

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