Modelling of inverter-based generation for power system dynamic studies

Abstract

This Technical Brochure provides a guidance on inverter-based generator models with associated functions that should be used for specific phenomena such as frequency deviation, large voltage deviation and long-term voltage deviation. This guideline helps to reduce the computational burden when performing simulations as well as to represent more accurate power system dynamic behaviour with inverter-based generators following faults.

Publication
JWG C4/C6.35/CIRED
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Petros Aristidou
Lecturer in Smart Energy Systems

I am a Lecturer (Assistant Professor) at the University of Leeds. I work on making future electric power systems sustainable, secure, and resilient. My research brings together mathematical tools from the areas of numerical analysis and optimisation, with high performance computational tools and machine learning techniques, to tackle modern power system problems.