MATLAB SVC (Static Var Compensator) Simulation Program

The MATLAB SVC (Static Var Compensator) is a specialized program designed for power quality management in electrical grid systems. The implementation utilizes a TCR (Thyristor Controlled Reactor) + TSC (Thyristor Switched Capacitor) structure with configurable parameters, making it suitable for system-level simulations in substations, wind power, and photovoltaic applications. The code includes modular components for reactive power control and harmonic analysis algorithms.

Static Var Compensator (SVC) represents an advanced power electronics device for optimizing power system quality. Typically composed of transformers, filters, reactors, and thyristor switches, SVC regulates reactive power in electrical systems to enhance stability and reliability. The MATLAB implementation features algorithms for waveform improvement, harmonic reduction, and noise interference mitigation, effectively minimizing power losses while improving both power quality and economic efficiency. The program includes functions for dynamic impedance adjustment and firing angle control calculations.

In system-level simulations for substations, wind farms, and photovoltaic systems, SVC plays a critical role. The MATLAB SVC program enables users to conduct precise simulations and tests through its object-oriented design, featuring customizable parameter classes and real-time data monitoring functions. Users can modify parameters such as capacitor bank sizes and reactor values through structured configuration files, adapting the system to various operational scenarios and technical requirements.

In conclusion, the MATLAB SVC program serves as an essential power quality management tool with broad applications across power system domains. Its highly adjustable parameters and robust system-level simulation capabilities, including built-in power flow analysis and transient stability modules, make it an indispensable tool for power engineers. The program's architecture supports extension modules for custom control strategies and compatibility with Simulink for co-simulation environments.