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Volumn 34, Issue 1, 1995, Pages 37-45

Rapid transmission capacity margin determination for dynamic security assessment using artificial neural networks

Author keywords

Neural networks; Operational planning; Security analysis; Transmission capacity margin

Indexed keywords

COMPUTATIONAL METHODS; CONSTRAINT THEORY; ELECTRIC LOAD FLOW; ELECTRIC LOAD MANAGEMENT; ELECTRIC POWER SYSTEM PROTECTION; FUNCTIONS; NEURAL NETWORKS; OPERATIONS RESEARCH; OPTIMIZATION; PLANNING;

EID: 0029332268     PISSN: 03787796     EISSN: None     Source Type: Journal    
DOI: 10.1016/0378-7796(95)00955-H     Document Type: Article
Times cited : (9)

References (26)
  • 2
    • 84916523991 scopus 로고
    • Development of a comprehensive framework for analyzing transmission services and evaluating their costs
    • 3rd edn., Electric Power Research Institute, Palo Alto, CA
    • (1993) Request for Proposal RFP3216-1
  • 17
    • 84916501323 scopus 로고    scopus 로고
    • R. Fischl, G.C. Ejebe, J.H. DeMaio, Identification of power system steady-state security regions under load uncertainty, IEEE PES Summer Meet., Portland, OR, USA, Cat. No. 76CH1135-3-PWR, IEEE, New York, Paper No. A76 495-2 1 -10.
  • 24
    • 85040294802 scopus 로고
    • Phase II: frequency domain analysis of low-frequency oscillations in large electric power systems
    • Electric Power Research Institute, Palo Alto, CA
    • (1982) EPRI Project 744-1, Final Rep. No. EL-2348 , vol.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.