Advanced controls for power systems with high penetration of renewables

Learn more about power grids, renewable generator control and connection to the grid, power electronics control in general (grids, microgrids, standalone and embedded systems).

  • Course duration: 2½ days
  • Course dates: 17th to 19th June 2019
  • Course location: Centrale Nantes (how to get here)

Fields of application:

Power grids, renewable generators control and connection to the grid, power electronics control in general (for example, for grids, microgrids, stand alone and embedded systems).

Overall objectives:

The general objective of the training programme is to provide trainees with a “system view” (i.e., model-based analaysis and control) of the massive integration of renewables into modern power systems.

Skills and output:

  • To explain modern and future power systems with high penetration of renewables, requiring complex dynamic models.
  • To discover how dynamics essential to power oscillations can be extracted from an overall model into a small-size control model.
  • To fulfill high performance renewable grid connection specifications, advanced control methods which take into account uncertainties of the models will be explained.

Course schedule

Time Day 1 Day 2 Day 3
9.00-10:30 am    Robustness (Marinescu)  Robust design of damping controllers (Marinescu)
10:30 - 11:00 am  Coffee  Coffee  Coffee
11:00-12:30 pm    Reduction (Marinescu) / Identification (Rouco)  Introduction (Siemens Gamesa)
12:30-2:00 pm  Lunch  Lunch  Lunch
2:00-3:30 pm  Introduction (RTE)  Modal analysis (Rouco)  Modeling and Control of Wind Turbines (Schulte)
3:30-4:00 pm  Coffee  Coffee  Coffee
4:00-5:30 pm  Modeling (Marinescu)  Eigenvalue sensitivity approach to damping controller tuning (Rouco)  Wind Power Plants and Wind Farm Integration Wind (Schulte)

Course Content:

Control model for robust control:

How to capture the dynamics of interest into a small-size model? How to account for the neglected dynamics? Advanced damping control which takes into account the uncertainty quantified into a good control model.

Identification of power system components:

Models, tests, parameter estimation, examples of identification of excitation and speed-governing systems.

Modal Analysis:

Eigenvalues, eigenvectors, modal controllability and observability factors, residues, participation factors, eigenvalue sensitivities, single machine and multimachine system examples.

Eigenvalue sensitivity approach to damping controller tuning:

Two step approach (phase compensation and gain calculation), single step approach (dynamic gains approach), single machine and multi-machine system examples.

Modelling and Control of Wind turbines (WTs):

Reduced modelling of WTs for control design, Control objectives and assessment criteria (Power and rotor speed fluctuation, mechanical loads, fault diagnoses, fault tolerance), Base-line control design in the frequency domain, Advanced wind turbine control using LMI Approach, Controller validation with FAST.

Teaching and technical means:

  • From an engineering perspective, concrete grid situations of ENSTO-E will be covered.
  • From a teaching perspective point of view, trainees will be given a simple example to work.


Evaluation forms will be filled out at the end of the training course.

Course fees (for 2½ days):

  • Members of the EES-UETP: €306.25
  • University non-members of the EES-UETP: €750
  • Industry non-members of the EES-UETP: €1250

Course organizer and teaching team:

Prof. Bogdan MARINESCU
+332 40 37 69 46
Executive Education Responsable
+332 40 37 68 17
Executive Education Project manager
+332 40 37 16 05
Emilie IVARS
Executive Education Assistant
+332 40 37 15 74
Published on March 20, 2019 Updated on March 21, 2019