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Found 13 papers, 0 papers with code
End-to-End Reinforcement Learning of Curative Curtailment with Partial Measurement Availability
In the course of the energy transition, the expansion of generation and consumption will change, and many of these technologies, such as PV systems, electric cars and heat pumps, will influence the power flow, especially in the distribution grids.
Analysing the interaction of expansion decisions by end customers and grid development in the context of a municipal energy system
The aim of this work is a holistic analysis of the staggered interactions of generation expansion and grid expansion for a future decentralized energy supply concept conditioned by the expansion in the field of self-generation.
Hierarchical Provision of Distribution Grid Flexibility with Online Feedback Optimization
Utilizing distribution grid flexibility for ancillary services requires the coordination and dispatch of requested active and reactive power to a large number of distributed energy resources in underlying grid layers.
Tuning and Testing an Online Feedback Optimization Controller to Provide Curative Distribution Grid Flexibility
A flexibility request from the transmission grid to a distribution grid then needs to be split up onto the different flexibility providing units (FPU) in the distribution grid.
Multi-stage optimisation towards transformation pathways for municipal energy systems
An essential facet of achieving climate neutrality by 2045 is the decarbonization of municipal energy systems.
Representation of Distribution Grid Expansion Costs in Power System Planning
With the method presented in this paper, a Feasible Planning Region (FPR) is developed, which represents the operational boundaries of the distribution grids for several expansion stages and thus represents an admissible solution space for the planning of distribution grids in systemic planning approaches.
Providing Curative Distribution Grid Flexibility Using Online Feedback Optimization
Distribution grid flexibility is discussed as a possible measure in curative system operation, yielding a need for an efficient and robust coordination mechanism for the joint flexibility provision by individual units to the transmission grid.
On the Impact of Smartification Strategies for the State Estimation of Low Voltage Grids
The decarbonization of for example the energy or heat sector leads to the transformation of distribution grids.
Modelling Residential Supply Tasks Based on Digital Orthophotography Using Machine Learning
To do this, buildings are first identified from orthophotos, then residential building types are classified, and finally the electricity demand of each building is determined.
Assessing the impact of cyber attacks manipulating distributed energy resources on power system operation
To investigate these effects, manipulation scenarios including the disconnection as well as the manipulation of active (P) and reactive power (Q) setpoints of DERs are derived.
On Aggregation Performance in Privacy Conscious Hierarchical Flexibility Coordination Schemes
In this paper we introduce a method for performance quantification of flexibility aggregation in flexibility coordination schemes (FCS), with a focus on privacy preserving hierarchical FCS.
Solving AC Power Flow with Graph Neural Networks under Realistic Constraints
In our approach, we demonstrate the development of a framework that uses graph neural networks to learn the physical constraints of the power flow.
A stakeholder-oriented multi-criteria optimization model for decentral multi-energy systems
The decarbonization of municipal and district energy systems requires economic and ecologic efficient transformation strategies in a wide spectrum of technical options.
