Open AccessCondition‐based exciter model complexity reduction for improved transient stability simulation
Author(s) -
Kim Soobae,
Overbye Thomas J.
Publication year - 2015
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.2014.0454
Subject(s) - exciter , transient (computer programming) , stability (learning theory) , electric power system , reduction (mathematics) , computer science , control theory (sociology) , power (physics) , computational complexity theory , control engineering , engineering , algorithm , mathematics , electrical engineering , artificial intelligence , control (management) , quantum mechanics , machine learning , physics , geometry , operating system
A reduced model approach to decrease computational complexity in power system transient stability simulation is presented. This study investigates conditions that make fast modes active or inactive using practical power system examples. Modes in the original system where fast dynamics do not appear can be neglected, allowing simulation steps to be increased without numerical stability issues. During a transient simulation, the proposed method switches dynamically between the original exciter model and the reduced one, depending on the switching criterion presented. A high level of accuracy is achieved and computational efficiency is increased. Case studies with the Western Electricity Coordinating Council system are provided to validate the performance of the proposed method.