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Application of learning from examples methods for on-line dynamic security assessment of electric power systems - state of the art

Abstract

This paper provides an overview of the application of `learning from examples` techniques like pattern recognition, artificial neural networks and decision trees, when used for fast dynamic security assessment. Problems concerning the system security evaluation relatively to transient stability and voltage stability are addressed with more details and references to research works in this field are briefly described. (author) 44 refs., 3 tabs.
Authors:
Pecas Lopes, J.A. Hatziargyriou, Nikos D. [1]  [2] 
  1. Universidade do Porto, Porto (Portugal). Faculdade de Engenharia
  2. National Technical University of Athens, Athens (Greece)
Publication Date:
Dec 31, 1994
Product Type:
Conference
Report Number:
ETDE-BR-0028; CONF-9405392-
Reference Number:
SCA: 240000; PA: BR-98:0Y0012; EDB-98:082260; SN: 98001979872
Resource Relation:
Conference: 4. SEPOPE: symposium of specialists in electric operational and expansion planning, 4. SEPOPE: simposio de especialistas em planejamento da operacao e expansao eletrica, Foz do Iguacu (Brazil), 23-27 May 1994; Other Information: PBD: 1994; Related Information: Is Part Of Technical papers presented at the 4. symposium of specialists in electric operational and expansion planning. v. 1; PB: 371 p.; Artigos tecnicos apresentados no 4. simposio de especialistas em planejamento da operacao e expansao eletrica. v. 1
Subject:
24 POWER TRANSMISSION AND DISTRIBUTION; POWER SYSTEMS; ELECTRIC POWER INDUSTRY; ELECTRIC UTILITIES; ELECTRICAL TRANSIENTS; VOLTAGE REGULATORS; PATTERN RECOGNITION; ARTIFICIAL INTELLIGENCE; NEURAL NETWORKS; DECISION TREE ANALYSIS
OSTI ID:
659562
Research Organizations:
Itaipu Binacional, Foz do Iguacu, Puerto Rico (Brazil)); ELETROBRAS, Rio de Janeiro, RJ (Brazil)
Country of Origin:
Brazil
Language:
English
Other Identifying Numbers:
Other: ON: DE98765515; TRN: BR98Y0012
Availability:
OSTI as DE98765515
Submitting Site:
BR
Size:
pp. 13-25
Announcement Date:
Aug 26, 1998

Citation Formats

Pecas Lopes, J.A. Hatziargyriou, Nikos D. Application of learning from examples methods for on-line dynamic security assessment of electric power systems - state of the art. Brazil: N. p., 1994. Web.
Pecas Lopes, J.A. Hatziargyriou, Nikos D. Application of learning from examples methods for on-line dynamic security assessment of electric power systems - state of the art. Brazil.
Pecas Lopes, J.A. Hatziargyriou, Nikos D. 1994. "Application of learning from examples methods for on-line dynamic security assessment of electric power systems - state of the art." Brazil.
@misc{etde_659562,
title = {Application of learning from examples methods for on-line dynamic security assessment of electric power systems - state of the art}
author = {Pecas Lopes, J.A. Hatziargyriou, Nikos D.}
abstractNote = {This paper provides an overview of the application of `learning from examples` techniques like pattern recognition, artificial neural networks and decision trees, when used for fast dynamic security assessment. Problems concerning the system security evaluation relatively to transient stability and voltage stability are addressed with more details and references to research works in this field are briefly described. (author) 44 refs., 3 tabs.}
place = {Brazil}
year = {1994}
month = {Dec}
}