Article (Scientific journals)
Contingency severity assessment for voltage security using non-parametric regression techniques
Wehenkel, Louis
1996In IEEE Transactions on Power Systems, 11 (1), p. 101-111
Peer Reviewed verified by ORBi
 

Files


Full Text
PRWRS1.pdf
Author preprint (561.69 kB)
Download

All documents in ORBi are protected by a user license.

Send to



Details



Keywords :
Voltage stability; Machine Learning
Abstract :
[en] This paper proposes a novel approach to power system voltage security assessment exploiting nonparametric regression techniques to extract simple, and at the same time reliable, models of the severity of a contingency, defined as the difference between pre- and post-contingency load power margins. The regression techniques extract information from large sets of possible operating conditions of a power system screened offline via massive random sampling, whose voltage security with respect to contingencies is pre-analyzed using an efficient voltage stability simulation. In particular, regression trees are used to identify the most salient parameters of the pre-contingency topology and electrical state which influence the severity of a given contingency, and to provide a first guess transparent approximation of the contingency severity in terms of these latter parameters. Multilayer perceptrons are exploited to further refine this information. The approach is demonstrated on a realistic model of a large scale voltage stability limited power system, where it shows to provide valuable physical insight and reliable contingency evaluation. Various potential uses in power system planning and operation are discussed
Disciplines :
Electrical & electronics engineering
Author, co-author :
Wehenkel, Louis  ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Language :
English
Title :
Contingency severity assessment for voltage security using non-parametric regression techniques
Publication date :
February 1996
Journal title :
IEEE Transactions on Power Systems
ISSN :
0885-8950
Publisher :
IEEE, Piscataway, United States - New Jersey
Volume :
11
Issue :
1
Pages :
101-111
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 17 December 2010

Statistics


Number of views
51 (0 by ULiège)
Number of downloads
291 (1 by ULiège)

Scopus citations®
 
24
Scopus citations®
without self-citations
23
OpenCitations
 
21
OpenAlex citations
 
34

Bibliography


Similar publications



Contact ORBi