Hybrid Power Plants - Modelling, Operation and Control. A Model Based Design Approach (2022)

Description:
A recent trend is to augment wind power with solar PV production and various batteries-based energy storage systems in so-called hybrid power plants. In this way, a better utilization of plant infrastructure, a steady power output over longer time periods and thus a better integration in energy markets are achieved. Moreover, such a plant can deliver firm ancillary services which may not be provided by the individual components alone. These three days course gives a systematic approach for modelling, control design and operation of Hybrid Power Plants using the Model-Based Design approach. It includes a wide range of hands-on exercises as well as demonstrations in a Real-Time Hardware-In-the Loop framework.

The main focus in this course will be on:

· Plant architectures and interoperability

· Balance of plant configuration, topologies and sizing

· Information and communication technologies

· Model based approach for control design

· Grid Monitoring and Ancillary services

· Market participation

Lectures are alternated with practical exercises on each major topic. More than 40% of the course is used for practical exercises and laboratory demonstrations.

Day 1:

Hybrid Power Plants – an overview (2.5 hours)

· Main components and challenges

· Plant architectures and interoperability layers

· Market integration and grid support services

· Practical considerations on Balance of Plant

· Methodologies and tools for design and assessment (offline simulations and RT-HIL)

Information and Communication Technologies (3.5 hours)

· Communication networks architectures and technologies

· Protocols and standards

· Performance definitions and classification

· Models for ICT (offline simulations and RT-HIL)

· Practical exercises

Day 2:

Modelling of Assets and Grid (2 hours)

· Modelling requirements for specific studies

· Performance models vs detailed models (wind turbines, PV, energy storage, etc.)

· Grid models (voltage control studies, frequency control studies)

· Practical exercises

Grid Monitoring – (2 hours)

· technologies and required functionalities

· signal processing and calculation of main variables (filtering, RMS calculation)

· estimation techniques for frequency and ROCOF

· Practical exercises

Control Design – (2 hours)

· Active and reactive power control

· Runtime power dispatchers

· Intra-plant estimation techniques

· Practical exercises

Day 3:

Ancillary Services (2 hours)

· Frequency and voltage regulation

· Other advanced functionalities (e.g. PSS like, power smoothening, power firming)

· Practical exercises

Market Participation (2 hours)

· Overview of energy and ancillary service markets

· Optimization framework for economic dispatch

· Practical exercises

Rapid Control Prototyping and Verification (2 hours)

· Architectures and practical considerations for RT-HIL deployment

· Demonstrations of operation and control of a hybrid power plant in a RT-HIL framework

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

Form of evaluation: Individual evaluation of the student assignments received during the lecture and exercises.


Organizer: Associate Professor Florin Iov, fi@energy.aau.dk

Lecturers: Associated Professor Rasmus Olsen Løvenstein rlo@es.aau.dk

ECTS: 3

Time: 20-22 April 2022

Place: AAU Energy, Aalborg

Number of seats: 20

Price: 6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT

Deadline: 30 March 2022


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.