Biography:

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Adriano Arrigo holds a Master’s degree in electrical engineering from the University of Mons, Belgium, since 2018. He is currently a PhD student in the Electrical Power Engineering Unit, starting from October 2018. His research interests include stochastic decision making, energy systems and the integration of renewable energy sources.

Research description:

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With the increase of renewable energy sources connected to the electrical grid, the need for flexibility is also increasing due to the uncertainty and variability in the energy production profiles. This ability to modify the electricity production in response to variability can be provided by the smart coordination of electrical power and natural gas systems. On the one hand, both systems are linked through the natural gas-fired power plants. On the other hand, the natural gas network intrinsically behaves as a buffer (as gas can be stored in pipelines). The aim of this thesis is to study how the different production units can be dispatched, at the dayahead horizon, in a smart way accounting for the most up-to-date renewable energy predictions. To achieve the minimum operational costs (energy production and balancing services) and the maximum utilization of the overall energy system (electrical and natural gas systems), stochastic optimization techniques (e.g., distributionally robust optimization) will be explored in order to incorporate as much information as possible in the decision-making tool.