- Wind Energy Research and Development
- Wind Turbine Control Systems
- Wind and Air Flow Studies
- Fluid Dynamics and Vibration Analysis
- Real-time simulation and control systems
- Electric Motor Design and Analysis
- Energy Load and Power Forecasting
- Sensorless Control of Electric Motors
- Magnetic Bearings and Levitation Dynamics
- Microgrid Control and Optimization
- Vibration and Dynamic Analysis
- Structural Health Monitoring Techniques
- Advanced Control Systems Optimization
- Aerodynamics and Fluid Dynamics Research
- Aerospace Engineering and Energy Systems
- Reservoir Engineering and Simulation Methods
- Control Systems and Identification
- Offshore Engineering and Technologies
- Control and Stability of Dynamical Systems
- Remote Sensing and LiDAR Applications
- Power Line Communications and Noise
- Renewable energy and sustainable power systems
- Icing and De-icing Technologies
- Advanced Power Amplifier Design
- Hydraulic and Pneumatic Systems
Carl von Ossietzky Universität Oldenburg
2016-2025
Fraunhofer Institute for Wind Energy Systems
2024-2025
Czech Academy of Sciences, Institute of Physics
2024
University of Zagreb
2008-2020
Technical University of Munich
2014-2017
Northeastern University
2000-2005
Aware (United States)
2003
Northwestern University
2002
University of Bath
1973-1979
Goal of this paper is to present results from wind tunnel tests aimed at evaluating the potential different wake control strategies for farm power maximization and load reduction. The experiments are conducted in a large boundary layer tunnel, using up six servo-actuated highly sensorized turbine scaled models layouts. Two main considered: first derates upstream turbines, while second aims redirecting wakes away downstream machines. latter strategy implemented two alternative ways, either...
This paper addresses the problem of torque ripple minimization in permanent magnet synchronous motors (PMSMs) and proposes an adaptive feedback structure as a solution. A model PMSM that includes phenomenon is first developed tested. While slightly different from conventional one, our still compact suitable for control. All parameters have physical interpretation, can either be measured directly or estimated numerically reliable procedure. An control algorithm then described, enabling speed...
This paper presents results from wind tunnel tests aimed at evaluating a closed- loop farm controller for power maximization by wake deflection. Experiments are conducted in large boundary layer tunnel, using three servo-actuated and sensorized turbine scaled models. First, we characterize the impact on steady-state output of deflection, achieved yawing upstream turbines. Next, illustrate capability proposed to dynamically driving turbines optimal yaw misalignment setting.
In this article, we propose a model predictive active power control (APC) enhanced by the optimal coordination of structural loadings wind turbines (WTs) operating with fully developed farm (WF) flows that have extensive interactions atmospheric boundary layer. general, APC problem, is, distributing WF reference among WTs, does not unique solution; fact can be exploited for load alleviation individual WTs. Therefore, formulated constrained optimization problem to simultaneously minimize...
We apply the energy-shaping controller design technique to speed regulation of permanent magnet synchronous motors. To illustrate different choices, two controllers are presented along with their stability analysis. The resulting schemes consist a static state feedback which simple nonlinear observer is added estimate unknown load torque. It shown that, for isotropic rotor machines, we can set tuning gains recover often used in industrial applications, where instead proportional integral...
Abstract. This paper studies a closed-loop wind farm control framework for active power (APC) with simultaneous reduction of wake-induced structural loads within fully developed flow interacting the atmospheric boundary layer. The main focus is on classical feedback control, which features simple architecture and practical measurement system that are realizable real-time large farms. We demonstrate loading downstream turbines can be alleviated, while production follows reference signal. A...
Abstract The reduction of structural loads is becoming an important objective for the wind turbine control system due to ever‐increasing specifications/demands on rated power and related growth dimensions. Among various algorithms that have been researched in recent years, individual pitch has demonstrated its effectiveness load reduction. Since control, like other algorithms, requires higher levels actuator activity, one must take constraints into account when designing controller. This...
Model predictive control (MPC) is a method that involves determining the input to dynamical system as solution an optimization problem solved online. In wind turbine research literature, MPC has received considerable attention for its ability handle both actuator constraints and preview disturbance information about oncoming wind, which can be provided by lidar scanner. However, while many studies simulate response under MPC, very few physical tests have been carried out, likely due in part...
Abstract Wind farm control (WFC) allows coordinated operation of the wind turbines within a power plant (WPP). However, its development has traditionally been split into distinct disciplines and flow control. As variable renewable energies, in particular energy, increase their penetration system, grid code requirements become stricter for WPPs electricity markets necessarily evolve. In such context, crossfertilization between two categories WFC, targeting an integrated approach where...
A new approach to the design of s.s.b. transmitters, which overcomes problems present-day is proposed. This based on generation r.f. energy at channel frequency and use a feedback control system regulate output spectrum transmitter so that it approximates arbitrarily closely low-level signal generated in conventional way. The principles are applicable all frequencies power levels, also readily adaptable other modes modulation.
The use of wind power for generating electricity has experienced an uninterrupted and accelerating growth over last few decades this is likely to continue. In order enable even greater role energy in production it necessary increase the size unit turbines. As turbines grow they are subjected extreme loads fatigue caused by nonuniform turbulent winds. Therefore, control algorithms that can assure load reduction become a necessity. paper individual pitch periodic blade hub loading explored. To...
Abstract. Redirecting the wake from an upstream wind turbine by yawing its rotor can reduce negative impact of on a downstream turbine. The present research investigated behaviour for three yaw angles [-30,0,30∘] at different inflow turbulence levels and shear profiles under controlled conditions. Experiments were conducted using model with 0.6 m diameter (D) in large tunnel. A short-range lidar WindScanner was used to map high spatial temporal resolution vertical, cross-stream planes...
The use of wind energy for generating electricity has been constantly and rapidly increasing over last few decades this growth is expected to continue. In order enable even greater role in power production turbines' sizes rated powers must increase. As turbines grow size they are subjected extreme loads fatigue caused by uniform turbulent winds. This prevents further turbines. Therefore control methods that assure reduction become a necessity. paper turbine based on individual pitch...
Abstract. Wind farm flow control (WFFC) is a topic of interest at several research institutes and industry certification agencies worldwide. For reliable performance assessment the technology, efficiency capability models applied to WFFC should be carefully evaluated. To address that, FarmConners consortium has launched common benchmark for code comparison under controlled operation demonstrate its potential benefits, such as increased power production. The builds on available data sets from...
Abstract. Dynamic induction control (DIC), also known as the pulse method, is a wake mixing strategy that has shown promising results for mitigating wake-induced power losses in wind farms. It relies on dynamic collective blade pitching to enhance turbulent mixing, thereby accelerating recovery. Experimental validation of this concept been primarily limited single-turbine cases under idealised conditions without shear and negligible turbulence. This paper presents tunnel study investigate...
Abstract. Wind farm control concepts require awareness and observation methods of the inner-farm flow field. The relative location wake, to which a downstream turbine is exposed, high interest. It can be used as feedback support closed-loop wake-steering control, ultimately leading higher power extraction fatigue load reduction. With increasing fidelity, not only time-averaged wakes but also instantaneous wake conditions, subject meandering wind direction changes, are considered within...
As the wind energy penetration increases, it is becoming more important for farms to contribute frequency regulation, i.e. active power control on grid. However, before such controllers can be widely used in industry, they need thoroughly validated. This paper contributes this task by presenting an experimental setup suitable validation of farm algorithms tunnel experiments. A model free closed loop implemented turbines, and tested a at University Oldenburg under different operating...
Wind tunnel experiments with scaled model turbines are a viable complement to field tests and simulations. The scaling of 5 MW reference turbine the aim maintaining design tip speed ratio lift distribution is introduced. machine, named MoWiTO 1.8 (Model Turbine Oldenburg m), described in this paper setup WindLab wind University Oldenburg, featuring an active grid, described. Based on aerodynamic simulations turbulent flow, calculated loads compared. Furthermore, characterization machine...
In this paper, we extend our closed-loop optimal control framework for wind farms to minimize wake-induced power losses. We develop an adjoint-based model predictive controller which employs a medium-fidelity 2D dynamic farm model. The turbine axial induction factors are considered here as the inputs influence overall performance by taking wake interactions of turbines into account. A constrained optimization problem is formulated maximize total production given farm. An adjoint approach...
This paper proposes a control algorithm that enables wind turbine operation in high winds. With this objective, an online optimization procedure is formulated that, based on the state, estimates those extremal speed variations would produce maximal allowable loads. Optimization results are compared to actual and, if there danger of excessive loading, power reference adjusted ensure loads stay within allowed limits. way, machine can operate safely even above cut-out speed, thereby realizing...