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Volumn , Issue , 2006, Pages

Distribution network restoration using sequential Monte Carlo approach

Author keywords

Customer restoration; Distribution network; Fault isolation; Monte Carlo method; Probability distributions; Switching time

Indexed keywords

CALCULATIONS; DISTRIBUTED PARAMETER NETWORKS; DISTRIBUTION OF GOODS; ELECTRIC POWER DISTRIBUTION; ELECTRIC POWER SYSTEMS; ELECTRIC POWER TRANSMISSION NETWORKS; MONTE CARLO METHODS; POWER TRANSMISSION; PROBABILITY; PROBABILITY DENSITY FUNCTION; REPAIR; RESTORATION; SWITCHING; SWITCHING FUNCTIONS;

EID: 46149121526     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PMAPS.2006.360267     Document Type: Conference Paper
Times cited : (12)

References (9)
  • 3
    • 0141883217 scopus 로고    scopus 로고
    • Artificial Neural Networks in Power System Restoration
    • October
    • Bretas, A.S., Phadke, A.G.: Artificial Neural Networks in Power System Restoration, IEEE Transactions on Power Delivery, Vol. 18, No. 4, October 2003
    • (2003) IEEE Transactions on Power Delivery , vol.18 , Issue.4
    • Bretas, A.S.1    Phadke, A.G.2
  • 5
    • 0142055893 scopus 로고    scopus 로고
    • Mgorithm for Improving the Restorability of Power Supply in Distribution Systems
    • October
    • Deng, Y., Cai, L., Yixin, N.: Mgorithm for Improving the Restorability of Power Supply in Distribution Systems, IEEE Transactions on Power delivery, Vol. 18, No. 4, October 2003
    • (2003) IEEE Transactions on Power delivery , vol.18 , Issue.4
    • Deng, Y.1    Cai, L.2    Yixin, N.3
  • 6
  • 7
    • 0036120941 scopus 로고    scopus 로고
    • Comparative Study of Modern Heuristic Algorithms to Srevice restoration in Distribution Systems
    • January
    • Toune, S. Et al.: Comparative Study of Modern Heuristic Algorithms to Srevice restoration in Distribution Systems, IEEE Transactions on Power Delivery, Vol. 17, No. 1, January 2002
    • (2002) IEEE Transactions on Power Delivery , vol.17 , Issue.1
    • Toune, S.1    Et al.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.