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Volumn 43, Issue 2, 1997, Pages 81-87

Investigation of extended fuzzy reasoning and neural classification for load-shedding prediction to prevent voltage instability

Author keywords

Artificial neural network; Extended fuzzy reasoning; Load shedding; Voltage instability

Indexed keywords

FUZZY SETS; KNOWLEDGE BASED SYSTEMS; NEURAL NETWORKS;

EID: 0031281890     PISSN: 03787796     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0378-7796(97)01163-2     Document Type: Article
Times cited : (8)

References (11)
  • 1
    • 0026850554 scopus 로고
    • Concepts of undervoltage load shedding for voltage stability
    • C.W. Taylor, Concepts of undervoltage load shedding for voltage stability, IEEE Trans. Power Deliv., 7 (2) (1992) 480-488.
    • (1992) IEEE Trans. Power Deliv. , vol.7 , Issue.2 , pp. 480-488
    • Taylor, C.W.1
  • 3
    • 85033106401 scopus 로고    scopus 로고
    • Evaluation of load shedding to prevent dynamic voltage instability based on extended fuzzy reasoning
    • to appear in
    • S.K. Tso, T.X. Zhu, Q.Y. Zeng and K.L. Lo, Evaluation of load shedding to prevent dynamic voltage instability based on extended fuzzy reasoning, to appear in IEE Proc. - Gener. Transm. Distrib.
    • IEE Proc. - Gener. Transm. Distrib.
    • Tso, S.K.1    Zhu, T.X.2    Zeng, Q.Y.3    Lo, K.L.4
  • 6
    • 0017703889 scopus 로고
    • Application of fuzzy logic to approximate reasoning using linguistic systems
    • E.H. Mamdani, Application of fuzzy logic to approximate reasoning using linguistic systems, IEEE Trans. Comput., 26 (1977) 1182-1191.
    • (1977) IEEE Trans. Comput. , vol.26 , pp. 1182-1191
    • Mamdani, E.H.1
  • 10
    • 0030104196 scopus 로고    scopus 로고
    • Fuzzy reasoning for knowledge-based assessment of dynamic voltage security
    • S.K. Tso, T.X. Zhu, Q.Y. Zeng and K.L. Lo, Fuzzy reasoning for knowledge-based assessment of dynamic voltage security, IEE Proc. - Gener. Transm. Distrib., 143 (2) (1996) 157-162.
    • (1996) IEE Proc. - Gener. Transm. Distrib. , vol.143 , Issue.2 , pp. 157-162
    • Tso, S.K.1    Zhu, T.X.2    Zeng, Q.Y.3    Lo, K.L.4
  • 11
    • 0028425866 scopus 로고
    • Effectiveness of artificial neural networks for first swing stability determination of practical systems
    • E. Hobson and G.N. Allen, Effectiveness of artificial neural networks for first swing stability determination of practical systems, IEEE Trans. Power Syst., 9 (2) (1994) 1062-1068.
    • (1994) IEEE Trans. Power Syst. , vol.9 , Issue.2 , pp. 1062-1068
    • Hobson, E.1    Allen, G.N.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.