Probabilistic Stability Assessment for Active Distribution Grids

authored by: Sebastian Liemann, Lia Strenge, Paul Schultz, Holm Hinners, Johannis Porst, Marcel Sarstedt, Frank Hellmann
Abstract: This paper demonstrates the concept of probabilistic stability assessment on large-signal stability in the use case of short circuits in an active distribution grid. Here, the concept of survivability is applied, which extends classical stability assessments by evaluating the stability and operational limits during transients for a wide range of operating points and failures. For this purpose, a free, open-source, and computationally efficient environment (Julia) for dynamic simulation of power grids is used to demonstrate its capabilities. The model implementation is validated against established commercial software and deviations are minimal with respect to power flow and dynamic simulations. The results of a large-scale survivability analysis reveal i) a broad field of application for probabilistic stability analysis and ii) that new non-intuitive stability correlations can be obtained. Hence, the proposed method shows strong potential to efficiently conduct power system stability analysis in active distribution grids.
Organisation(s): Electric Power Engineering Section
External Organisation(s): TU Dortmund University
Technische Universität Berlin
Potsdam Institute for Climate Impact Research
University of Bremen
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU Erlangen-Nürnberg)
Type: Conference contribution
No. of pages: 6
Publication date: 2021
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: Artificial Intelligence, Energy Engineering and Power Technology, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment
Sustainable Development Goals: SDG 7 - Affordable and Clean Energy
Electronic version(s): https://arxiv.org/abs/2106.09624 (Access: Open)
https://doi.org/10.1109/PowerTech46648.2021.9494855 (Access: Closed)