Tutorials: Monday afternoon

Tutorials: Monday afternoon (provisional programme)

Tutorial N° 8
Afternoon
(14:00 – 17:30)
Room:
Louis Armand West
(level -3)

Information file

Model Predictive Control of Power Converters and Drives

  • Marco Riveira, University of Nottingham, United Kingdom
  • Patrick Wheeler, University of Nottingham, United Kingdom
  • Javier Munoz, Universidad da Talca, Chile

Tutorial Objectives

In the last decades, the application of fast modern microcontrollers has been continuously growing, allowing the development and implementation of new and more intelligent control strategies as an alternative to conventional techniques for power converters. Model Predictive Control is one of these powerful and attractive alternatives that has received a lot of attention in recent years. The use of predictive control offers several interesting advantages: it is an intuitive control approach, it does not need linear controllers and modulators, and it is possible to easily include nonlinearities and restrictions in the control law. It is expected that the advantages of predictive control will lead to industrial applications very shortly. In this tutorial, new advances and trends in the application of model predictive control for power electronics and electrical drives will be presented. 

Tutorial N° 14
Afternoon
(14:00 – 17:30)
Room 4 (level -3)

Focus topic 2
Smart grids and renewable energy

Information file

Pushing Boundaries in Power Conversion for Renewable Energy Systems

  • Varaha Satya Bharath Kurukuru, SILICON Austria Lab GmbH, Austria
  • Mohammed Ali Khan, University of Southern Denmark, Denmark

Tutorial Objectives

The growing integration of renewable energy systems into modern power grids necessitates advanced solutions for power converter design and operation. This tutorial provides a detailed exploration of how artificial intelligence (AI) technologies can address key challenges in distributed generation (DG) systems, with a focus on improving converter reliability, operational efficiency, and compliance with grid requirements.

Key topics include:

  • Characterization and Stress Steering in Power Converters: Utilizing AI-enhanced device characterization and thermal stress mitigation to ensure improved operational longevity and reliability of power converters.
  • AI-Driven Islanding Detection Mechanisms: Developing robust detection algorithms to identify and mitigate islanding conditions, ensuring system safety and stability.
  • Dynamic Fault Ride-Through (FRT) Protocols: Implementing AI-based solutions for maintaining grid stability during electrical faults and disturbances.

Participants will gain insights into innovative methodologies through in-depth technical discussions, supported by case studies and practical applications.