The enhanced binary single machine equivalent method for transient stability limit searching
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Date
2016
Authors
Tan, Hui-Min
Editors
Advisors
Zivanovic, Rastko
Vowles, David
Vowles, David
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Theses
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Abstract
This thesis proposes the novel Enhanced Binary Single-Machine Equivalent Method (EBSIME) to provide a fast, robust and systematic approach to search for the transient stability limits (TSLs) of multi-machine power systems. The algorithm is an extension of the SIME method [1] and provides an approach to estimate a transient stability margin for a given scenario – where the system operating conditions and a contingency are specified. The margins estimated for a pair of different scenarios is used to predict and accelerate an iterative search for the TSLs. The search bisects the search bounds whenever the limit prediction using the transient stability margins cannot be applied, thereby ensuring search convergence. Unlike alternative hybrid-direct TSL searching methods the EBSIME algorithm is general and does not require any model simplification, or heuristic tuning for application to the specific power system under investigation. The EBSIME algorithm is designed to be implemented as a peripheral add-on to the standard time domain simulation (TDS) and load-flow software; and does not require access to, or modification of, the primary transient stability analysis software. As some important applications of EBSIME are perceived within the Australian power industry the algorithm has been implemented using PSS®E. In this thesis the algorithm is applied to locate the TSLs on the IEEE simplified 14-generator model of the South-East Australian power system. The results indicate that the EBSIME algorithm can locate the TSL up to 30% faster than a plain binary search, and at worst a few simulation seconds longer than a plain binary search.
School/Discipline
School of Electrical and Electronic Engineering
Dissertation Note
Thesis (Ph.D.) -- University of Adelaide, School of Electrical and Electronic Engineering, 2016.
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This electronic version is made publicly available by the University of Adelaide in accordance with its open access policy for student theses. Copyright in this thesis remains with the author. This thesis may incorporate third party material which has been used by the author pursuant to Fair Dealing exceptions. If you are the owner of any included third party copyright material you wish to be removed from this electronic version, please complete the take down form located at: http://www.adelaide.edu.au/legals