Travail de fin d'études et stage[BR]- Travail de fin d'études : Automation of Critical Clearing Time Calculation for Synchronous Generators in Power Systems[BR]- Stage
Libin, Thibault
Promotor(s) : Cornélusse, Bertrand
Date of defense : 5-Sep-2024/6-Sep-2024 • Permalink : http://hdl.handle.net/2268.2/20879
Details
Title : | Travail de fin d'études et stage[BR]- Travail de fin d'études : Automation of Critical Clearing Time Calculation for Synchronous Generators in Power Systems[BR]- Stage |
Author : | Libin, Thibault |
Date of defense : | 5-Sep-2024/6-Sep-2024 |
Advisor(s) : | Cornélusse, Bertrand |
Committee's member(s) : | Quoilin, Sylvain
Wehenkel, Louis Chaspierre, Gilles |
Language : | English |
Discipline(s) : | Engineering, computing & technology > Energy |
Institution(s) : | Université de Liège, Liège, Belgique |
Degree: | Master en ingénieur civil électromécanicien, à finalité spécialisée en énergétique |
Faculty: | Master thesis of the Faculté des Sciences appliquées |
Abstract
[en] This thesis addresses the automation of Critical Clearing Time (CCT) calculation for synchronous generators in power systems, a crucial aspect of dynamic security assessment. The CCT is a key parameter that determines the maximum time allowed for a protection system to clear a fault without causing instability in the power system. Traditional methods of calculating CCT are often time-consuming and rely heavily on manual processes, which can be inefficient in large-scale systems with numerous generators. To streamline this process, this work develops a methodology for automating CCT calculations using Python scripting integrated with power system simulation tools. The study begins with a comprehensive review of the theoretical foundations, including the phasor approximation and RMS simulations, which are essential for understanding the dynamic behaviour of synchronous generators under fault conditions. A detailed modelling approach for synchronous generators is also presented, emphasizing the assumptions and simplifications necessary for practical CCT computation. The proposed automation process was validated using case studies based on the Belgian transmission grid. Results demonstrate that the automated tool can efficiently compute CCTs. This work not only contributes to the field by providing a robust tool for CCT calculation but also provides the basis for future enhancements in the monitoring of power systems.
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