Auctions for Congestion Management in Distribution Grids

Large controllable loads, such as electric vehicles, are increasingly penetrating electricity distribution feeders. To avoid local congestion, their consumption behaviour must be steered, for which a real-time price propagated down from the transmission system does not suffice, as it does not reflect local grid conditions. To efficiently steer...

Smart Motions: Reducing the effect of parameter uncertainties during feedforward control of a robotic manipulator

The performance of a feedforward controller depends on the accuracy of the internal model used for generating the control action. In this research we focus on the influence of parameter uncertainty on the performance of a feedforward controller. A simulation study is performed on a one and two D.O.F. planar robotic arm to improve the open-loop...

Uncertainty from Model Calibration: Applying a New Method to Transport Energy Demand Modelling

Uncertainties in energy demand modelling originate from both limited understanding of the real-world system and a lack of data for model development, calibration and validation. These uncertainties allow for the development of different models, but also leave room for different calibrations of a single model. Here, an automated model calibration...

Identification of model uncertainty for control design