Discretization and Code Generation of an SVC
Majid Pakdel · River Publishers eBooks · 2025
As the complexity and scale of modern power systems continue to grow, the need for advanced tools and techniques to enhance system stability and efficiency becomes increasingly critical. The Static Var Compensator (SVC) is a pivotal device in this context, used to regulate voltage and improve the power quality of electrical networks. To effectively implement SVCs in real-time systems, the processes of discretization and automatic code generation are essential. This chapter focuses on these processes within the Simulink environment, providing a thorough exploration of how continuous-time SVC models can be converted into discrete-time implementations and subsequently transformed into deployable code. The chapter begins by outlining the fundamental concepts of discretization, explaining the necessity of converting continuous-time models to discrete-time models for digital controller implementation. It discusses various discretization techniques, highlighting their impact on system performance and accuracy. Readers will gain insights into the challenges and considerations involved in the discretization process, including sampling rates, quantization effects, and stability issues. Following the theoretical background, the chapter transitions to a practical guide on using Simulink for discretizing SVC models. It details the step-by-step procedures for transforming continuous-time models into discrete equivalents within Simulink, utilizing built-in tools and functions. Emphasis is placed on ensuring that the discretized models accurately reflect the dynamics of the original system while being suitable for digital implementation. The latter part of the chapter is dedicated to code generation, a crucial step in bringing Simulink models to life in real-time applications. Readers will learn how to leverage Simulink’s capabilities to automatically generate efficient, executable code from their discrete-time SVC models. The chapter covers the configuration and customization of code generation settings, the integration of generated code with real-time hardware, and the verification and validation of the implementation. By the end of this chapter, readers will have a comprehensive understanding of the discretization process and its importance in digital controller design for SVCs. They will also be equipped with practical skills in using Simulink for both discretization and automatic code generation, empowering them to implement sophisticated SVC controllers in real-world power system applications. This knowledge will be invaluable for engineers and researchers aiming to enhance the performance and reliability of modern electrical networks through advanced control strategies and real-time digital implementations.