Improvements in classification of power system security
(2006) IEEE Power Engineering Society General Meeting, 2006. p.6-6- Abstract
- In this paper power system security is estimated with a linear support vector machine (SVM). The SVM is used to calculate a hyperplane which separate states of the power system that sustain an (n-1) fault from states that do not. The hyperplane can be used on-line in order to determine if the system is moving into insecure conditions. The proposed method is developed to support operators at control centers and make it easier to make decisions in stressed operating situations. This paper shows that the scaling of variables is important in order to obtain good results. A new method to scale and reduce the number of measured variables is presented. The problem with a data set consisting of both continuous and binary variables is also... (More)
- In this paper power system security is estimated with a linear support vector machine (SVM). The SVM is used to calculate a hyperplane which separate states of the power system that sustain an (n-1) fault from states that do not. The hyperplane can be used on-line in order to determine if the system is moving into insecure conditions. The proposed method is developed to support operators at control centers and make it easier to make decisions in stressed operating situations. This paper shows that the scaling of variables is important in order to obtain good results. A new method to scale and reduce the number of measured variables is presented. The problem with a data set consisting of both continuous and binary variables is also discussed. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/640710
- author
- Andersson, Christian LU and Solem, J E
- organization
- publishing date
- 2006
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- IEEE Power Engineering Society General Meeting, 2006
- pages
- 6 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- IEEE Power Engineering Society General Meeting, 2006.
- conference location
- Montreal, Canada
- conference dates
- 2006-06-18 - 2006-06-22
- external identifiers
-
- scopus:35348925381
- ISBN
- 1-4244-0493-2
- DOI
- 10.1109/PES.2006.1709330
- language
- English
- LU publication?
- yes
- id
- b86e35ed-f3f1-4174-a565-67894efa4557 (old id 640710)
- date added to LUP
- 2016-04-04 10:49:30
- date last changed
- 2022-04-23 23:36:34
@inproceedings{b86e35ed-f3f1-4174-a565-67894efa4557,
abstract = {{In this paper power system security is estimated with a linear support vector machine (SVM). The SVM is used to calculate a hyperplane which separate states of the power system that sustain an (n-1) fault from states that do not. The hyperplane can be used on-line in order to determine if the system is moving into insecure conditions. The proposed method is developed to support operators at control centers and make it easier to make decisions in stressed operating situations. This paper shows that the scaling of variables is important in order to obtain good results. A new method to scale and reduce the number of measured variables is presented. The problem with a data set consisting of both continuous and binary variables is also discussed.}},
author = {{Andersson, Christian and Solem, J E}},
booktitle = {{IEEE Power Engineering Society General Meeting, 2006}},
isbn = {{1-4244-0493-2}},
language = {{eng}},
pages = {{6--6}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
title = {{Improvements in classification of power system security}},
url = {{http://dx.doi.org/10.1109/PES.2006.1709330}},
doi = {{10.1109/PES.2006.1709330}},
year = {{2006}},
}