Grimm, A.; Schönfeldt, P.; Torio, H.; Klement, P.; Hanke, B.; von Maydell, K.; Agert, C. Deduction of Optimal Control Strategies for a Sector-Coupled District Energy System. Energies2021, 14, 7257.
Grimm, A.; Schönfeldt, P.; Torio, H.; Klement, P.; Hanke, B.; von Maydell, K.; Agert, C. Deduction of Optimal Control Strategies for a Sector-Coupled District Energy System. Energies 2021, 14, 7257.
Grimm, A.; Schönfeldt, P.; Torio, H.; Klement, P.; Hanke, B.; von Maydell, K.; Agert, C. Deduction of Optimal Control Strategies for a Sector-Coupled District Energy System. Energies2021, 14, 7257.
Grimm, A.; Schönfeldt, P.; Torio, H.; Klement, P.; Hanke, B.; von Maydell, K.; Agert, C. Deduction of Optimal Control Strategies for a Sector-Coupled District Energy System. Energies 2021, 14, 7257.
Abstract
We present a method to turn results of model-based optimisations into resilient and comprehensible control strategies. Our approach is to define priority lists for all available technologies in a district energy system. Using linear discriminant analysis and the results of the optimisations, these are then assigned to discrete time steps using a set of possible steering parameters. In contrast to the model-based optimisations, the deduced control strategies do not need perfect foresight but solely rely on data about the present. Our result indicate that the results of the control strategies obtained using the proposed method are comparable to the results of the linear optimisations, in our case in terms of emissions and prices.
Keywords
resilience; control; sector-coupled; district energy system; optimisation; deduction; classification; linear discriminant analysis; emissions
Subject
Engineering, Control and Systems Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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