Real-Time Power System Model for Laboratory Scale Wind Farm PHIL-Simulation

Holistic wind farm simulations need to consider multiple physical domains and a variety of interactions, ranging from aerodynamics to grid interdependence. In this paper, the concept and implementation aspects of a real-time capable power system model is presented, which is integrated into the laboratory scale Smart WindPark Laboratory infrastructure SWiPLab, where all relevant cross-couplings in the scope of wind farm dynamics are considered in a hybrid PHIL-based approach. This allows for grid stability investigations as well as optimization of overall wind farm management in the scope of increasing renewable energy sources in the power system. Grid services such as secondary reserves or grid-forming wind turbine control can be developed, validated and improved.

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Publication Details

Published
2024-11-03
DOI
https://doi.org/10.1109/iecon55916.2024.10905282
Citations
2
Primary Topic
Real-time simulation and control systems
Type
article
Field-Weighted Citation Impact
0.66
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article

Real-Time Power System Model for Laboratory Scale Wind Farm PHIL-Simulation

Constantinos Sourkounis, Vile Kipke, Tim Stotten
2 citations
Real-time simulation and control systems
0.66
article

Real-Time Power System Model for Laboratory Scale Wind Farm PHIL-Simulation

Constantinos Sourkounis, Vile Kipke, Tim Stotten
article en
2 citations

Abstract

Holistic wind farm simulations need to consider multiple physical domains and a variety of interactions, ranging from aerodynamics to grid interdependence. In this paper, the concept and implementation aspects of a real-time capable power system model is presented, which is integrated into the laboratory scale Smart WindPark Laboratory infrastructure SWiPLab, where all relevant cross-couplings in the scope of wind farm dynamics are considered in a hybrid PHIL-based approach. This allows for grid stability investigations as well as optimization of overall wind farm management in the scope of increasing renewable energy sources in the power system. Grid services such as secondary reserves or grid-forming wind turbine control can be developed, validated and improved.

Ruhr University Bochum (DE)
Affordable and clean energy
Openalex Percentile: Top 27%
Real-time simulation and control systems
0.66
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