Power System Transient Stability Based on SVM

Zhen Long Sun; Ai Long Fan; Da Lu Guan

doi:10.4028/www.scientific.net/AMR.562-564.1476

Paper Titles

Analysis and Simulation of a Parallel Platform with 2R-1T
p.1456

Research on a New Type of Hydraulic Oil Tank and a Working States Monitoring System for the Hydraulic System
p.1463

MIMO System Stability Margin and its Flight Test Method
p.1468

The Design of Parallel DC-DC Power
p.1472

Power System Transient Stability Based on SVM
p.1476

Decentralized Linear Permanent Magnet Synchronous Motor Control Using Harmonic Injection SPWM
p.1479

Suppression of Superfluous Force of Electric Load Simulator
p.1483

3D Model Transformation of Waveguide Slot Array Antenna in Mechanical-Electromagnetic Analyses
p.1487

Research on Loading Method of Linear Motor Reliability Test
p.1492

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 562-564Power System Transient Stability Based on SVM

Power System Transient Stability Based on SVM

Abstract:

In order to overcome the lack of which power system transient stability assessment model can not continue to learn and update the model online, in this chapter, a incremental learning method of support vector machine is proposed . The new data is added to the solution by constructing a recursive solution , which provides a new way of learning online for power system transient stability assessment.

You might also be interested in these eBooks

Materials Engineering and Automatic Control

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 562-564)

Pages:

1476-1478

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.562-564.1476

Citation:

Cite this paper

Online since:

August 2012

Authors:

Zhen Long Sun, Ai Long Fan, Da Lu Guan

Keywords:

Incremental Learning, Support Vector Machine (SVM), Update Formula

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Cauwenberghs G, PoggioT. Incremental and Decremental Support Vector Machine Learning. Advances in Neural Information Proeessing Systems, 2001, 13(2): 147-158.

Google Scholar

[2] XiaodongC, Yutian L. Real-time transient stability Prediction using incremental learning Algorithm. IEEE Power Engineering Society General Meeting, 2004: 1565-1569.

DOI: 10.1109/pes.2004.1373134

Google Scholar