Real-Time simulation: Control of Grid connected converters. TEST

The proposed training provides a comprehensive approach to designing and implementing controller for grid-connected power electronic devices.

Présentiel

21 heures

A qui s'adresse cette formation ?

PhD Students in electrical engineering and control systems seeking to deepen their practical skills.
Professors or assistant professors looking to integrate Real-Time Simulation inside their courses.
Research and Application Engineers working on control design of grid-connected power electronics.

Introduction

Objectifs

Avis

Format

Packages

Contexte

The proposed training provides a comprehensive approach to designing and implementing controller for grid-connected power electronic converters. The content of this training will highlight the benefits to use off-line and real-time simulation to support the design of such converters. Highly recommended for engineers. Participants will explore the methodology for control design, progressing from offline simulation to real implementation, highlighting also Real-Time Simulation and Hardware-in-the-Loop techniques. The course covers automatic code generation for microcontrollers.

Objectifs pédagogiques

Explore the methodology for control design, progressing from offline simulation to real hardware implementation.
Understand and apply key Real-Time Simulation (RTS) and Hardware-in-the-Loop (HIL) techniques in power electronics.
Master the automatic code generation for microcontrollers to ensure seamless deployment of control algorithms.
Analyse grid-following converters widely used in renewable energy integration and modern energy storage systems.

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Ce qu'en disent nos apprenants

Après avoir suivi la formation en data science industrielle, Nadia B. a rapidement su mettre en pratique les compétences acquises. Elle a développé des modeles prédictifs qui ont permis d’optimiser nos lignes de production et de réduire de 12 % les arrêts imprévus.

Benjamin Fabre

Data Analyste

Explorer le Machine Learning dans l’écosystème AWP, c’est avant tout chercher à mettre l’intelligence artificielle au service de l’autonomie locale. Plutôt que de voir l’algorithme comme un outil de contrôle, je l’utilise pour optimiser nos ressources communes et mieux comprendre nos besoins partagés.

Nathalie Martin

Chargé de développement

Le format

Comprehensive practical focus on Opal-RT and The Mathworks tools during intensive lab experiments.
A step-by-step progress from offline simulation model up to real converter hardware validation.
High-level expert academic trainers specializing in power electronic and network grid integration.