
Transient stability analysis and stability margin evaluation of phase‐locked loop synchronised converter‐based generators
Author(s) -
Wang Wenzong,
Huang Garng M.,
Ramasubramanian Deepak,
Farantatos Evangelos
Publication year - 2020
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2020.0620
Subject(s) - control theory (sociology) , electric power system , transient (computer programming) , stability (learning theory) , margin (machine learning) , computer science , power (physics) , control (management) , physics , quantum mechanics , artificial intelligence , machine learning , operating system
As the penetration level of converter‐based generators (CBGs) continues to grow in electric power systems, their impact on power system dynamics and control becomes increasingly significant. Maintaining a stable operation of the CBGs is becoming more and more critical. Since their controls and dynamic behaviour differ from synchronous generators, in this study, the transient stability mechanism of CBGs is analysed and the key influencing factors are identified and investigated. Moreover, a stability margin index, which can be obtained analytically, is proposed to identify potential transient stability issues of CBGs and can be used as a screening technique before conducting time‐consuming electromagnetic simulation studies. This index can be used for both planning and operations studies and it outperforms the state‐of‐the‐art index of short circuit ratio that is presently used to identify potential CBG instabilities due to weak grid scenarios. Dynamic simulations on a real power system model have been conducted to validate the accuracy and applicability of the proposed stability margin index.