Z-tool: Open-source frequency-domain analysis toolbox for EMT models
This webinar is the first in a series disseminating the research on electrical systems at Etch (EnergyVille). Be sure to follow our IEEE PES Chapter!
This webinar showcases the functionalities of the Z-tool, a Python implementation for the small-signal stability analysis of power systems in the Electromagnetic Transient (EMT) software PSCAD. Unlike built-in routines in commercial EMT programs, the Z-tool automatically scans any admittance from both the AC and DC sides, including multi-terminal networks, capturing the dynamic characteristics of power converters and rotating machines together with their controls. In addition, several functions allow the user to effortlessly perform state-of-the-art frequency-domain stability analysis to de-risk modern power systems. Following an introduction to the Z-tool's working principle and built-in features, two case-studies are presented demonstrating its capabilities to screen for small-signal interactions.
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- Date: 13 Feb 2025
- Time: 04:00 PM UTC to 05:00 PM UTC
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Fran of KU Leuven & Etch (EnergyVille)
Z-tool: Open-source frequency-domain analysis toolbox for EMT models
Biography:
Francisco Javier Cifuentes Garcia received the B.S. in Energy Engineering (honors) and M.Sc. degree in Industrial Engineering specialized in Electronics from the Universitat Politècnica de Catalunya (UPC), Spain, in 2018 and 2021, respectively. Between 2018 and 2020, he was a research assistant at CITCEA-UPC where he worked on several industrial projects studying the transient stability of HVDC converters (LCC and MMC) in weak grids and the design of controls to fulfil grid code’s requirements for PV + ESS power plants. In 2021, after completing his MSc thesis on small-signal analysis of VSCs at KU Leuven, he was part of InnoDC as an Early-Stage Researcher working on Hybrid AC/DC grids. He is currently a PhD candidate at KU Leuven – Etch EnergyVille focusing on the stability of power systems with high penetration of power electronics. His research interests include modelling and control of power systems, renewable energy technologies, and optimization.
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