Optimization and data-driven techniques to support decision making of power system operators

Optimization and data-driven techniques to support decision making of power system operators

Dr Evelyn Haylen

The increasing uncertainty and variability in power systems due to the massive integration of renewable energy sources has increased the complexity of system operation. The system operator has the duty to keep the power system secure at a reasonable cost.

Decision-support tools aim at helping system operators to deal with uncertainties and variability in this decision making process. The system operator's decision making process can be modelled in the decision-support tools as an optimisation formulation.

In this seminar, Dr Heylen will discuss the mathematical formulation of the decision-making problem of the system operator in short-term system operation and approaches to deal with the non-convexity in the formulation. Second, the use of data-driven techniques in the context of decision-support tools is touched upon.

Speaker

Dr Evelyn Heylen obtained the degrees of Master in Energy Engineering in 2013, and Doctor in Electrical Engineering in 2018, both from the University of Leuven, Belgium. Her PhD research in the field of power system reliability was funded by a PhD fellowship of the Research Foundation Flanders. Afterwards, she worked as a post-doctoral researcher at the University of Leuven on the development of decision-support tools for system operators.

Since June 2019 she has worked as a research associate at Imperial College London, where she focuses on the use of data-driven techniques in power systems. Her research interests are power system reliability from a technical and socio-economic perspective and decision support for grid operators using optimisation and data-driven techniques.