Open AccessTransient stability assessment of large lossy power systems
Author(s) -
Sarailoo Morteza,
Wu N. Eva,
Bay John S.
Publication year - 2018
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.2017.0864
Subject(s) - transient (computer programming) , lossy compression , electric power system , stability (learning theory) , scalability , reliability (semiconductor) , control theory (sociology) , fault (geology) , electric power transmission , computer science , reliability engineering , computation , power (physics) , engineering , algorithm , electrical engineering , control (management) , physics , quantum mechanics , database , artificial intelligence , machine learning , seismology , geology , operating system
Stability assessment of a lossy power system during a transient is challenging because of the stringent time limit for a conclusion to reliably support protection functions. A coverage‐based stability assessment is pursued with focus on resolving computation and scalability issues. This approach involves online tracking of each generator's electromechanical state using a local quasi‐steady‐state sinusoidal measurement model, and determining whether the state is enclosed in an offline‐computed post‐fault region of attraction (RoA) at the time the RoA is established by a protection action. The RoA is numerically estimated offline with a scalable ellipsoidal expansion algorithm, and the need for the expansion is delineated. The approach to transient stability assessment is tested on a lossy 68‐bus system subject to transmission faults. The study concludes that the coverage‐based stability assessment can offer significant advantages in both reliability and swiftness over the existing assessment methods.