Description:
The course will provide training and education in the field of wind power engineering, including general knowledge of wind turbine systems, mainly covering the electrical aspects of wind turbine systems, including electrical machines, power electronics and power systems, etc.
The PhD course will include basic knowledge of wind turbine systems, as well as electrical systems of wind power systems, and operation and control of wind power systems.
Some of the course contents are based on recently obtained research results.
The main topics are as follows:
· Overview of wind power development
· Wind energy and wind turbine systems
· Wind power generators
· Configuration and control of power electronic conversion system for wind energy conversion system
· Operation and control of wind turbines and wind farms
· Offshore wind power system
· Wind power plant design and optimisation
· Transmission system for offshore wind power plants
· Wind power integration to power grid
· Stability modelling and analysis of wind power system
Day 1:
Overview of energy system and wind power development (ZCH 1.5hours)
Basics of wind energy conversion systems (ZCH 1.5hours)
Drive train, generators, power electronics (1) (YWA 1.5hours)
Drive train, generators, power electronics (2) (YWA 1.2hours)
Day 2:
Drive train, generators, power electronics (3) (YWA 1.5hours)
Wind turbine systems (ZCH 1.5hours)
Wind turbine control and optimization (ZCH 1.5hours)
Transmission system for offshore wind farms (YWA 1.5hours)
Day 3:
Grid code and power quality (ZCH 1.5hours)
Wind power impacts on power system operation (ZCH 1.5hours)
Wind power impacts on power system stability (1) (YWA 1.5hours)
Wind power impacts on power system stability (2) (YWA 1.2hours)
Day 4:
Offshore wind farms and optimization of wind farms (ZCH 1.5hours)
Wind power impacts on power system protection (KMA 1.5hours)
Simulation analysis and practice (YWA 1.5hours)
Discussion / Homework (ZCH 0.5hours)
Prerequisites:
Preferably to have general knowledge in electrical engineering.
Form of evaluation:
Assignments are to be completed, the reports are to be submitted and evaluated after the class
Course literature
· [1] “Wind Energy Systems, Optimising design and construction for safe and reliable operation”, Edited by John D. Sørensen and Jens N. Sørensen, Woodhead Publishing Ltd. 2011, ISBN: 978-1-84569-580-4.
· [2] “Direct-Drive Wind and Marine Energy Systems”, Edited by Markus Mueller, Woodhead Publishing Ltd. 2013
· [3] Chen, Z. Infield, D., Hatziargyriou, N. " Wind Power Generation", in McGraw-Hill's Standard Handbook for Electrical Engineers 17th edition.2018
· [4] Ackermann, Thomas, ed. Wind power in power systems. John Wiley & Sons, 2012.
· [5] GE company, ‘‘Dynamic modeling of GE 1.5 and 3.6 wind turbine-generators’’, 2003.
· [6] Tong, Wei. Wind power generation and wind turbine design. WIT press, 2010.
Organizer: Z. Chen, Professor, zch@energy.aau.dk, Aalborg University, Denmark
Lecturers: Professor Zhe Chen, Aalborg University, Denmark
Assistant Professor Yanbo Wang, Aalborg University, Denmark
Post doc. Fellow Kaiqi MA, Aalborg University, Denmark
ECTS: 4
Date/Time: 27 February – 2 March 2023 / 8:30-16:00
Deadline: 6 February 2023
Place: AAU Energy, Aalborg
Price: 6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT
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.
- Teacher: Zhe Chen
- Teacher: Kaiqi Ma
- Teacher: Yanbo Wang