ISGAN Virtual Learning invites to this webinar that presents generic models and local control schemes of renewable energy plants for Dynamic Virtual Power Plant (DVPP) integration. This includes different power plants as wind turbines, wind farms, PV systems, biogas-, hydropower, and solar thermal power plants. The individual generating units are described in a unified model structure for local control design, simulation and the analysis of their dynamical characteristics. The derived models are intended for the integration into a higher-level control design of DVPPs.
Intended audience
Power plant operators, certifiers, grid operators, manufacturers of wind turbines and PV power plants, inverter manufacturers, graduate students of electrical and control engineering, control engineers and power system engineers from industry and academics
Key messages
- Presentation of physically interpretable generic models of common renewable energy power plants (RPP) such as wind turbines, photovoltaics, biogas, hydropower, and solar thermal power plants in a unified modelling framework.
- Systematic justification and description of the internal controller structure of the primary (wind, PV, solar, biogas, hydro) and secondary (synchronous machine and power electronic converters) sides of the power plant types used in the DVPP
- Straightforward performance verification of the internal control system by means of relevant test scenarios such active and reactive setpoint changes, variation of the energy source (wind, sun) of non-dispatchable plants, Grid voltage drop, Phase angle step change
- Calculation of the frequency characteristics of RPPs for DVPP design
- Discussion of the planned experimental validation in the HTW lab
Further information
Speakers Bio
Stephan Kusche received a Diplom degree in physical engineering and a Ph.D. in viscoelastic friction. Since then, he has worked on various control engineering tasks, such as energy optimization in process technology and modeling of renewable energy sources. His research interests include electrodynamics, continuum mechanics, and mathematical and numeric methods.
Florian Pöschke received the M. Eng. in Automation from the University of Applied Sciences HTW Berlin. He recently defended his Ph.D. at the Leuphana University Lüneburg, where his work focused on the control of wind turbines and their interaction with the electrical grid. His research interest include the dynamical modeling and control of renewable energy systems from the primary source to electrical grid connection point. Along with the application of classical approaches, his expertise lies in the treatment of nonlinear system dynamics as a convex combination of linear submodels and the subsequent control design based on linear matrix inequalities.
Horst Schulte received a degree in Electrical Engineering from TU Berlin and a Ph.D. degree in Mechanical Engineering from University Kassel (Germany). He then joined the Bosch Group (Rexroth) as a research engineer, where he worked on first principle modeling, identification, optimization, and advanced control of hydraulic pumps and motors, power systems, and drive trains. Since November 2009, he has been a full Professor at the University of Applied Sciences HTW Berlin. His research interests include nonlinear controller and observer design with Takagi-Sugeno (TS), LPV, sliding-mode techniques, robust and fault tolerant control system design. He translates these methods into industrial applications in automatic control of wind turbines and wind farms, PV power plants, the distributed control of power systems, and modeling and control of power electronic converters for sustainable power systems. He is i.e. the Chairman of the Federation of German Windpower and other Renewable Energies (FGW e.V.); Chairman of the VDI/VDE-GMA FA (Technical Committee) 5.14 Computational Intelligence; Associate Editor of the Journal ISA Transactions; Member of the IFAC Technical Committee 6.4 Fault Detection, Supervision & Safety of Techn. Processes; Vice-Chair of the IEEE CIS Task Force on “Fuzzy Systems in Renewable Energy and Smart Grids”; Member of the IEEE Control Systems Society.
