Co-Simulation:
Co-simulations such as mosaik allow you to reuse and combine existing simulation models
and simulators to create large-scale Smart Grid scenarios – and by large-scale we mean thousands of simulated entities distributed over multiple simulator processes. These
scenarios can then serve as test bed for various types of control strategies (e.g., multi-agent systems (MAS) or centralized control).
Participants:
Grid Integration of electric vehicles:
The number of registered electric vehicles has grown exponentially in recent years. The load resulting from the charging processes of the EVs was not considered while planning the existing electric grids and therefore may cause violations of operational boundaries. The grid integration of EVs analyzes and develops suitable grid-sided and user-sided measures to enhance the grid's capacity for EVs.
Participants:
AI in the energy sector
The implementation of AI in the energy sector is increasing. As a part of the critical infrastructure the importance for the state community is high. Due to the increased volume, velocity, and variety of energy-relevant data, AI can increase the value creation of such information and mitigate the energy transition-associated complexity. AI is used for load forecasting, power generation and management, demand side management, and electrical grid operation and control. AI has high relevance regarding decentralized smart energy solutions, e.g., smart grids and the modernization of power grids. The safe integration of renewable energies is enhanced by hardware like smart meters, energy storage devices, SGs, and software like AI and Blockchain. AI-based energy methods contribute to the transformed energy system by optimizing and scheduling flexibilities to increase power efficiency and consumption.
Participants:
Laboratory Coupling
Development of concepts for coupling spatially or geographically separated energy laboratories in Lower Saxony in order to use them for joint experiments. The investigations are based on standardized low-voltage type grids for which different strategies can be simulated. Furthermore, the creation of larger simulation and hardware emulation environments with extended functionalities by merging laboratory infrastructures of different research institutions is considered.
Participants:
