Course info

Organizer: Associate Professor Tamas Kerekes, tak@energy.aau.dk, Aalborg University

Lecturers: Associate Professor Tamas Kerekes, tak@energy.aau.dk , Aalborg University
Associate Professor, Florin Iov, fi@energy.aau.dk, Aalborg University
Assistant Professor Daniel-Ioan Stroe, dis@energy.aau.dk, Aalborg University
Assistant Professor Sergiu Spataru, sersp@fotonik.dtu.dk, DTU

ECTS: 4

Date/Time: 9-12 April 2024

Deadline: 26 March 2024

Place: AAU Energy, Pontoppidanstraede 101, Aalborg, Denmark

Max no. of participants: 35

Description: This four-day course provides an overview and hands-on experience into the most common modelling methods used for the design, analysis, and planning of solar photovoltaic (PV) generation, wind power (WP) , and energy storage (ES) systems.

The course will focus on the applicability and practical implementation of the models, and cover the following main topics:

• modelling solar and wind resource: from high frequency variations to hourly, daily, and monthly averaged models;
• detailed/dynamic models of the photovoltaic generator (PVG), wind turbine generator (WTG), power electronic converter (PEC) and battery storage system (BSS), used in applications where models with a high bandwidth are required, such as switching converter applications;
• averaged, performance, and ageing models of the PVG, WTG, PEC, and BSS used in power system integration studies, power plant design, or performance monitoring and analysis.

The mornings are dedicated to lectures, while the afternoons are spent with off-line application examples and exercises in Matlab/Simulink, and laboratory exercises focusing on Real Time implementation using Opal-RT, where the students will apply the models and methodology in practice.

No less than 40% of the course time is spent in the state-of-the-art Photovoltaic Systems Laboratory and the Smart Energy Systems Laboratory at the Department of Energy at Aalborg University.

• Day 1: Modelling of photovoltaic systems – Sergiu Spataru (8 hours)
• Day 2: Modelling of power converters – Tamas Kerekes (8 hours)
• Day 3: Modelling of energy storage systems – Daniel Stroe (8 hours)

A link for online payment by credit card for externals participants will be annonced after deadline for registration

Prerequisites: Basic Matlab/Simulink knowledge is recommended for the exercises.

Find more information about the course here

Important information concerning PhD courses: We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.