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Volumn 2, Issue , 2004, Pages 1084-1088

Machine learning approach to power system dynamic security analysis

Author keywords

Clustering; Neural networks; Pattern recognition; Power system security; Transient stability

Indexed keywords

COMPUTER SIMULATION; DATA REDUCTION; ELECTRIC POWER SYSTEMS; NEURAL NETWORKS; PATTERN RECOGNITION; SYSTEM STABILITY; TIME DOMAIN ANALYSIS;

EID: 15944403141     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (9)

References (15)
  • 3
    • 0029253067 scopus 로고
    • B. C. hydro's on-line transient stability assessment
    • Feb.
    • Y. Mansour, el al., "B. C. Hydro's On-line Transient Stability Assessment," IEEE Trans. Power Systems, Vol. 10, No. 1, Feb. 1995, pp. 241-253.
    • (1995) IEEE Trans. Power Systems , vol.10 , Issue.1 , pp. 241-253
    • Mansour, Y.1
  • 4
    • 0031140126 scopus 로고    scopus 로고
    • Large scale dynamic security screening and ranking using neural networks
    • May
    • Y. Mansour, E. Vaahedi, M. A. El-Sharkawi, et al., "Large Scale Dynamic Security Screening and Ranking Using Neural Networks," IEEE Trans. Power Syst., Vol. 12, No. 2, May 1997, pp. 954-960.
    • (1997) IEEE Trans. Power Syst. , vol.12 , Issue.2 , pp. 954-960
    • Mansour, Y.1    Vaahedi, E.2    El-Sharkawi, M.A.3
  • 5
    • 0024611597 scopus 로고
    • Artificial neural-net based dynamic security assessment for electric power systems
    • Feb.
    • D. J. Sobajic and Y-H Pao, "Artificial Neural-Net Based Dynamic Security Assessment for Electric Power Systems," IEEE Trans. Power Syst., Vol. 4, No. 1, Feb. 1989, pp. 220-4.
    • (1989) IEEE Trans. Power Syst. , vol.4 , Issue.1 , pp. 220-224
    • Sobajic, D.J.1    Pao, Y.-H.2
  • 6
    • 0026153716 scopus 로고
    • Preliminary results on using artificial neural networks for security assessment
    • May
    • M. Aggoune, M. A. El-Sharkawi, D. C. Park, M. J. Damborg and R. J. Marks, "Preliminary Results on Using Artificial Neural Networks for Security Assessment," IEEE Trans. Power Syst., Vol. 6, No. 2, May 1991., pp. 890-896.
    • (1991) IEEE Trans. Power Syst. , vol.6 , Issue.2 , pp. 890-896
    • Aggoune, M.1    El-Sharkawi, M.A.2    Park, D.C.3    Damborg, M.J.4    Marks, R.J.5
  • 9
    • 0034314240 scopus 로고    scopus 로고
    • On-line dynamic security contingency screening using artificial neural networks
    • November
    • K. W. Chan, A. R. Edwards, R. W. Dunn, and A. R. Daniels, "On-line Dynamic Security Contingency Screening Using Artificial Neural Networks," IEE Proc. Gener. Transm., Distrib., Vol. 147, No. 6, November 2000, pp. 367-372.
    • (2000) IEE Proc. Gener. Transm., Distrib. , vol.147 , Issue.6 , pp. 367-372
    • Chan, K.W.1    Edwards, A.R.2    Dunn, R.W.3    Daniels, A.R.4
  • 10
    • 77949565977 scopus 로고    scopus 로고
    • ANN sensitivity analysis for identification of relevant features in security assessment
    • September, Porto, Portugal
    • J. N. Fialgo and J. A. Pecas Lopes, "ANN Sensitivity Analysis For Identification of Relevant Features in Security Assessment," Proc. 2001 IEEE Port Power Tech Conference, September 2001, Porto, Portugal.
    • (2001) Proc. 2001 IEEE Port Power Tech Conference
    • Fialgo, J.N.1    Pecas Lopes, J.A.2
  • 14
    • 0031146959 scopus 로고    scopus 로고
    • Constructive algorithms for structure learning in feedforward neural networks for regression problems
    • May
    • T. Y. Kwok and D. Y. Yeung, "Constructive Algorithms for Structure Learning in Feedforward Neural Networks for Regression Problems," IEEE Trans., Neural Networks, Vol. 8, May 1997, pp. 630-645.
    • (1997) IEEE Trans., Neural Networks , vol.8 , pp. 630-645
    • Kwok, T.Y.1    Yeung, D.Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.