IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

RBF Networks for Power System Topology Verification

RBF Networks for Power System Topology Verification
View Sample PDF
Author(s): Robert Lukomski (Wroclaw University of Technology, Poland)and Kazimierz Wilkosz (Wroclaw University of Technology, Poland)
Copyright: 2009
Pages: 7
Source title: Encyclopedia of Artificial Intelligence
Source Author(s)/Editor(s): Juan Ramón Rabuñal Dopico (University of A Coruña, Spain), Julian Dorado (University of A Coruña, Spain)and Alejandro Pazos (University of A Coruña, Spain)
DOI: 10.4018/978-1-59904-849-9.ch199

Purchase

View RBF Networks for Power System Topology Verification on the publisher's website for pricing and purchasing information.

Abstract

A necessary condition for monitoring and control of a Power System (PS) is possessing a credible model of this system. The PS model for a need of dispatchers in national control centre is created in real time. An important element of such a model is a topology model. PS Topology Verification (PSTV) is an important problem in PS engineering. Often this problem is solved together with PS state estimation (Lukomski, & Wilkosz, 2000; Mai, Lefebvre, & Xuan, 2003). Methods, that enable such a solution of the problem, are sophisticated and usually time consuming. They require successful state estimation performance but convergence problems may occur in the case of certain Topology Errors (TEs). Thus, a robust method for PSTV before a state estimation is desired.

Related Content

Frederic Andres. © 2027. 14 pages.
Kalsoom Safdar, Khairul Najmy Abdul Rani, Mohd Aminudin Jamlos, Siti Julia Rosli, Muhammad Usman Younus, Zanab Safdar. © 2027. 27 pages.
Bani Adam, Binastya Anggara Sekti, Muhammad Adi Zacky Zahran. © 2027. 24 pages.
Swetha Margaret T. A., Renuka Devi D.. © 2027. 31 pages.
Maurice Saluschke, Michael Schulz. © 2027. 30 pages.
Mirjam Sepesy Maučec, Gregor Donaj. © 2027. 16 pages.
Jorge A. Ruiz-Vanoye, Ocotlan Diaz-Parra, Ricardo A. Barrera-Cámara, Alejandro Fuentes-Penna, Francisco R. Trejo-Macotela, Jaime Aguilar-Ortiz, Eric Simancas-Acevedo. © 2027. 21 pages.
Body Bottom