TY - JOUR
T1 - A Digital Twin Framework for Simulating Distributed Energy Resources in Distribution Grids
AU - Værbak, Magnus
AU - Billanes, Joy Dalmacio
AU - Jørgensen, Bo Nørregaard
AU - Ma, Zheng Grace
PY - 2024/5/23
Y1 - 2024/5/23
N2 - As the adoption of distributed energy resources (DERs) grows, the future of electricity distribution systems is confronted with significant challenges. These challenges arise from the transformation of consumers into prosumers and the resulting increased system complexity, leading to more pressure on the distribution grids. To address this complexity, a Digital Twin framework is designed to simulate DERs within distribution grids effectively. This framework is structured around four key modules: DERs, the electricity distribution grid, the energy management system, and the consumers. It incorporates a communication interface to facilitate interactions among these modules and includes considerations for grid topologies and demand-side configurations. The framework allows for the exploration of various DER adoption rates and capacities. The validation of this framework involves case studies on two Danish distribution grids with scenarios incorporating rooftop photovoltaic (PV) systems, batteries, and electric vehicles, considering different combinations of these technologies. The findings demonstrate the framework’s ability to depict the states of the grid, PV systems, electric vehicles, and battery systems with a 10 min resolution over periods ranging from a day to over a decade.
AB - As the adoption of distributed energy resources (DERs) grows, the future of electricity distribution systems is confronted with significant challenges. These challenges arise from the transformation of consumers into prosumers and the resulting increased system complexity, leading to more pressure on the distribution grids. To address this complexity, a Digital Twin framework is designed to simulate DERs within distribution grids effectively. This framework is structured around four key modules: DERs, the electricity distribution grid, the energy management system, and the consumers. It incorporates a communication interface to facilitate interactions among these modules and includes considerations for grid topologies and demand-side configurations. The framework allows for the exploration of various DER adoption rates and capacities. The validation of this framework involves case studies on two Danish distribution grids with scenarios incorporating rooftop photovoltaic (PV) systems, batteries, and electric vehicles, considering different combinations of these technologies. The findings demonstrate the framework’s ability to depict the states of the grid, PV systems, electric vehicles, and battery systems with a 10 min resolution over periods ranging from a day to over a decade.
KW - digital twin
KW - agent-based simulation
KW - simulation framework
KW - distributed energy resource
KW - electricity storage
KW - electric vehicle
KW - solar power
KW - energy management systems
KW - electricity distribution systems
U2 - 10.3390/en17112503
DO - 10.3390/en17112503
M3 - Journal article
SN - 1996-1073
VL - 17
JO - Energies
JF - Energies
IS - 11
M1 - 2503
ER -