Evelyn Heylen is research associate in the Control and Power research group of the Electrical and Electronic Engineering department of Imperial College London. She joined Imperial in June 2019, after being a post-doctoral researcher at the University of Leuven, Belgium. Prior to this, she obtained the degrees of Master in Energy Engineering (magna cum laude) and Doctor in Electrical Engineering from the University of Leuven, Belgium, in resp. 2013 and 2018. Her PhD research in the field of power system reliability was funded by a PhD fellowship of the Research Foundation Flanders.
Her research interests are decision support for grid operators in low-inertia systems and power system reliability from a technical and socio-economic perspective. After obtaining her PhD, she was a visiting researcher in the Control and Power Group of Imperial College London focusing on dynamic modelling of consumers’ inconvenience associated with demand flexibility potentials. As a post-doctoral researcher at the University of Leuven, she worked on the development of optimization-based decision-support tools for transmission system operators. In this role, she was task leader in the European Horizon 2020 project EU Sysflex, coordinating a task with academic and industrial partners on the development of a software tool to apply in the dispatchers' training simulator of a European transmission system operator.
Her current research focuses on investigating the potential of new data-science and machine learning techniques for the application in power systems.This research is applied in the Short-term System Inertia Forecast project in collaboration with National Grid ESO.
et al., 2020, Dynamic modelling of consumers’ inconvenience associated with demand flexibility potentials, Sustainable Energy, Grids and Networks, Vol:21, ISSN:2352-4677, Pages:1-13
et al., 2019, How detailed value of lost load data impact power system reliability decisions, Energy Policy, Vol:132, ISSN:0301-4215, Pages:1064-1075
et al., 2019, Fairness and inequality in power system reliability: Summarizing indices, Electric Power Systems Research, Vol:168, ISSN:0378-7796, Pages:313-323
et al., 2019, A multi-dimensional analysis of reliability criteria: From deterministic N-1 to a probabilistic approach, Electric Power Systems Research, Vol:167, ISSN:0378-7796, Pages:290-300
et al., 2019, Fairness of power system load-shedding plans, IEEE International Conference on Systems, Man, and Cybernetics (SMC), IEEE, Pages:1404-1409, ISSN:1062-922X