Small-signal interaction analysis between grid-forming converters and conventional power system equipment
This thesis investigates the small-signal stability and subsynchronous resonance (SSR) phenomena in a power system comprising a grid-forming (GFM) controlled converter and a synchronous generator (SG) with a multi-mass rotor model, connected both to the grid through a series-compensated transmission...
| Autor: | |
|---|---|
| Formato: | tesis de maestría |
| Fecha de publicación: | 2024 |
| País: | España |
| Recursos: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/428260 |
| Acesso em linha: | https://hdl.handle.net/2117/428260 |
| Access Level: | acceso abierto |
| Palavra-chave: | Electric networks Electric current converters Xarxes elèctriques Convertidors de corrent elèctric Àrees temàtiques de la UPC::Enginyeria elèctrica |
| Resumo: | This thesis investigates the small-signal stability and subsynchronous resonance (SSR) phenomena in a power system comprising a grid-forming (GFM) controlled converter and a synchronous generator (SG) with a multi-mass rotor model, connected both to the grid through a series-compensated transmission line. The primary goal is to understand how key system parameters influence stability and the potential occur- rence of SSR. To achieve this, the stability analysis is conducted using eigenvalue analysis in the state-space representation. Several case studies are performed, varying key system parameters to evaluate their impact on stability and resonance phenomena. Before the analysis, each system component is modelled individually. These models are adapted from previous work of KU Leuven researchers to meet the re- quirements of the final configuration. The models are implemented in MATLAB and successfully validated through Simulink by comparing time-domain simulations and eigenvalue analyses. This ensures a correct MATLAB implementation and establishes a reliable basis for further analysis. Finally, the small-signal stability analysis is conducted by examining a range of realistic scenarios. This involves varying relevant system conditions, including both physical and control parameters. The results offer valuable insights into how system parameters affect stability and identify the conditions under which SSR may arise. |
|---|