Simulink Simulation of SVG-based Reactive Power Compensation System

A simulation study of SVG-based reactive power compensation system using Simulink

In power systems, reactive power compensation is a crucial technology that improves system power factor and reduces reactive power losses in the grid. This research conducts detailed investigation and analysis of an SVG (Static Var Generator) based reactive power compensation system through Simulink simulation. The implementation involves creating custom blocks for power electronics components and control algorithms using Simulink's Power Systems toolbox.

Initially, we explain the working principle of SVG and fundamental concepts of reactive power compensation. Subsequently, we construct a comprehensive Simulink model comprising power supply system, load components, and SVG modules. The model implementation includes PWM control blocks, voltage source converters, and phase-locked loop (PLL) circuits for synchronization. Through simulation runs, we observe and analyze SVG's reactive power compensation performance under various operating conditions, with real-time monitoring of harmonic distortion levels and dynamic response characteristics.

During simulation, we examine different parameters including voltage, current, and power factor while adjusting and optimizing SVG's control strategies. The control algorithm implementation features proportional-integral (PI) controllers for DC voltage regulation and reactive power tracking, with switching frequency optimization for power electronic devices. Through analysis of simulation results including waveform graphs and performance metrics, we evaluate SVG's effectiveness and propose improvement recommendations for controller tuning and filter design.

In conclusion, this research provides comprehensive investigation and analysis of SVG-based reactive power compensation system through Simulink simulation, offering theoretical support and practical guidance for reactive power compensation technology in power systems, with particular emphasis on model validation techniques and real-time control implementation approaches.