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PINNSim is a neural network-based simulator designed for power system dynamics, promising to perform stability assessments significantly faster than traditional methods. It aims to model complex power systems with high accuracy, addressing the challenges posed by renewable energy sources.
This proposal puts forward a first-of-its-kind power system dynamics simulator based on neural networks:
PINNSim. PINNSim aims to deliver a highly modular and scalable tool that can be up to 100x faster than any commercial power system simulator.
This means that PINNSim can perform a power system stability assessment in 30 minutes instead of 2 days.
We witness a dramatic shift from few large scale generators to millions of converter-based resources, such as solar, wind, batteries, and electric v…
TECHNICAL UNIVERSITY OF DENMARK DTU
DANMARKS TEKNISKE UNIVERSITET
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CYPRUS UNIVERSITY OF TECHNOLOGY
Cyprus, Lemesos
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
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