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Volumn , Issue , 2004, Pages 71-75

On-line voltage stability monitoring using artificial neural network

Author keywords

Feature selection; MW margin; Neural Networks; Voltage stability

Indexed keywords

COMPUTER SIMULATION; CONSTRAINT THEORY; ELECTRIC POWER SYSTEMS; MATHEMATICAL MODELS; NEURAL NETWORKS; ONLINE SYSTEMS; PRINCIPAL COMPONENT ANALYSIS;

EID: 14344265796     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (26)

References (14)
  • 1
    • 14344255930 scopus 로고    scopus 로고
    • PSERC Publication 01-05. Power Systems Engineering Research Center, Cornell University, Final report, May
    • PSERC Publication 01-05, " Automated Operating Procedures for Transfer limits". Power Systems Engineering Research Center, Cornell University, Final report, May 2001.
    • (2001) Automated Operating Procedures for Transfer Limits
  • 2
    • 14344260663 scopus 로고    scopus 로고
    • PSERC Publication 03-06, Power Systems Engineering Research Center, Cornell University, Final report, May
    • PSERC Publication 03-06, " Integrated Security Analysis", Power Systems Engineering Research Center, Cornell University, Final report, May 2003.
    • (2003) Integrated Security Analysis
  • 6
    • 14344256317 scopus 로고    scopus 로고
    • Power system loading margin estimation using artificial neural network
    • Seatle, USA, July
    • B. Jeyasurya, "Power System Loading Margin Estimation Using Artificial Neural Network", IEEE PES Summer Meeting, Seatle, USA, July 2000.
    • (2000) IEEE PES Summer Meeting
    • Jeyasurya, B.1
  • 7
    • 0032115118 scopus 로고    scopus 로고
    • Monitoring and assessment of voltage stability margins using artificial neural networks with a reduced input set
    • July
    • D. Popovic, D. Kukolj, F. Kulic, "Monitoring and Assessment of Voltage Stability Margins Using Artificial Neural Networks with a Reduced Input Set", IEE proc, Vol. 145, No. 4, July 1998, pp. 355-362.
    • (1998) IEE Proc , vol.145 , Issue.4 , pp. 355-362
    • Popovic, D.1    Kukolj, D.2    Kulic, F.3
  • 9
    • 0029408693 scopus 로고
    • Application of artificial neural networks in voltage stability assessment
    • November
    • A. A. EI-Keib, X. Ma, "Application of Artificial Neural Networks in Voltage Stability Assessment", IEEE Transactions on Power Systems, Vol. 10, No. 4, November 1995, pp. 1890-1896.
    • (1995) IEEE Transactions on Power Systems , vol.10 , Issue.4 , pp. 1890-1896
    • Ei-Keib, A.A.1    Ma, X.2
  • 10
    • 14344254549 scopus 로고    scopus 로고
    • Powertech Labs Inc, Surrey, British Columbia, Canada, February
    • Voltage Stability Assessment Tool, version 3.0, Powertech Labs Inc, Surrey, British Columbia, Canada, February 2003.
    • (2003) Voltage Stability Assessment Tool, Version 3.0
  • 12
    • 0013157535 scopus 로고    scopus 로고
    • MathWorks Inc., June 18
    • MATLAB version 6.5.0, MathWorks Inc., June 18, 2002.
    • (2002) MATLAB Version 6.5.0


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.