Open AccessDetermination of available transfer capability with implication of cascading collapse uncertainty
Author(s) -
Salim Nur Ashida,
Othman Muhammad Murtadha,
Serwan Mohd Salleh,
FotuhiFiruzabad Mahmud,
Safdarian Amir,
Musirin Ismail
Publication year - 2014
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.2013.0395
Subject(s) - parametric statistics , reliability engineering , electric power system , computer science , maximum power transfer theorem , interval (graph theory) , transfer (computing) , task (project management) , power (physics) , power transmission , transmission network , stochastic process , transmission (telecommunications) , mathematical optimization , engineering , mathematics , systems engineering , statistics , telecommunications , quantum mechanics , combinatorics , parallel computing , physics
Available transfer capability (ATC) provides important information for power marketers and planning sectors in restructured power systems. The stochastic nature of power system behaviour, however, made ATC determination a difficult and complicated task. A stochastic framework has been established for ATC calculation with implication of uncertainties in transmission failures, hourly peak loads and system cascading collapse. The proposed ATC calculation framework is based on parametric bootstrap technique which enables generating random samples of system operating condition with uncertainty at a predefined confidence interval. The IEEE RTS‐96 network is employed to demonstrate the effectiveness of the proposed framework. The results presented indicate the significant impact of uncertainties on ATC value.