Engineering SciencesOpen OpportunitiesIn recent years, the penetration of renewable energy resources in distribution grids has been steadily increasing, raising new challenges for power grids. Due to their large inertia, individual buildings may regulate their heating system to help stabilizing the electric network.
In our previous work, we designed an energy management system that self-exports a flexibility envelope to a system operator [1]. The envelope contains the maximal and minimum energy that the household can consume over an horizon of a day, considering some uncertainties on the weather and model errors.
However, the flexibility potential of prosumers highly depends on the underlying building model. On the one hand, a more complex model should yield more reliable results, reducing the uncertainties and therefore increasing the usable flexibility potential. On the other hand, it requires extensive data and engineering design.
This project aims at studying the impact of the epistimistic modelling uncertainty on the controller decisions and the flexibility potential of households. Some work already analyzed the impact of building models on an MPC controller. In this project, we would like to extend the analysis to the flexibility potential of prosumer units based on the flexibility envelope concepts used in previous works.
[1] Gasser, J., et al., Predictive energy management of residential buildings while self-reporting flexibility envelope. (2021), Applied Energy, 288, p.116653
- Building Science and Techniques, Optimisation, Stochastic Analysis and Modelling
- Master Thesis
| In recent years, the penetration of renewable energy resources in distribution grids has been steadily increasing, raising new issues such as voltage violations or line congestions. Due to their large inertia, individual buildings may regulate their heating system to help distribution system operators alleviating these congestions.
In our previous work, we designed an energy management system that self-exports a flexibility envelope to a system operator for system-level dispatch [1]. The envelope contains the maximal and minimum energy that the household can consume over an horizon of a day. Now, we would like to employ this information to reduce congestions in distribution grids.
[1] Gasser, J., et al., Predictive energy management of residential buildings while self reporting flexibility envelope. (2021), Applied Energy, 288, p.116653. - Building Science and Techniques, Electrical Engineering, Optimisation
- Master Thesis
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