7 papers
GENCO - A Unified Neural Solver Embedded in a Development Framework for Steady-State Grid Analysis
Alban Puech, Matteo Mazzonelli, Tamara R. Govindasamy +19
Foundation models are transforming business workflows and boosting productivity, yet they remain largely absent from engineering domains such as power system analysis, where strict…
Generalized Vector Locus Transformation for Unbalanced Three-Phase Systems
Maitraya Avadhut Desai, Francisco Escobar, Gabriela Hug
Coordinate transformations significantly simplify power systems computations. Most notably, the classical Clarke and transformations are widely used in three-phase systems, a…
Enhancing LLMs for Power System Simulations: A Feedback-driven Multi-agent Framework
Mengshuo Jia, Zeyu Cui, Gabriela Hug
The integration of experimental technologies with large language models (LLMs) is transforming scientific research. It positions AI as a versatile research assistant rather than a…
A Proportional-Integral Model for Fractional Voltage Tripping of Distributed Energy Resources
Milos Katanic, Gregor Verbic, John Lygeros +1
In regions with high shares of distributed energy resources (DERs), massive disconnection of small-scale DERs in low-voltage distribution grids during disturbances poses a serious…
Enabling Large Language Models to Perform Power System Simulations with Previously Unseen Tools: A Case of Daline
Mengshuo Jia, Zeyu Cui, Gabriela Hug
The integration of experiment technologies with large language models (LLMs) is transforming scientific research, offering AI capabilities beyond specialized problem-solving to bec…
Data-driven Power Flow Linearization: Theory
Mengshuo Jia, Gabriela Hug, Ning Zhang +3
This two-part tutorial dives into the field of data-driven power flow linearization (DPFL), a domain gaining increased attention. DPFL stands out for its higher approximation accur…