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Volumn 3, Issue , 2005, Pages 1547-1554

Development of a hybrid knowledge-based system for multiobjective optimization of power distribution system operations

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; CONSTRAINT THEORY; HEURISTIC PROGRAMMING; HIERARCHICAL SYSTEMS; NUMERICAL METHODS; OPTIMIZATION; POWER CONTROL;

EID: 29344443329     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (14)
  • 1
    • 0028530647 scopus 로고
    • A survey of the state of the art in distribution system reconfiguration for system lossreduction
    • Sarfi, R. J. et al. 1994. A survey of the state of the art in distribution system reconfiguration for system lossreduction. Electric Power Systems Research 31(1):61-70.
    • (1994) Electric Power Systems Research , vol.31 , Issue.1 , pp. 61-70
    • Sarfi, R.J.1
  • 2
    • 0030282550 scopus 로고    scopus 로고
    • Applications of fuzzy sets theory in power systems planning and operation: A critical review to assist in implementation
    • Sarfi, R. J. et al. 1996. Applications of fuzzy sets theory in power systems planning and operation: a critical review to assist in implementation. Electric Power Systems Research 39(2):89-101.
    • (1996) Electric Power Systems Research , vol.39 , Issue.2 , pp. 89-101
    • Sarfi, R.J.1
  • 3
    • 0025249017 scopus 로고
    • Implementation of heuristic search strategies for distribution feeder reconfiguration
    • Taylor, T., and Lubkeman, D. 1990. Implementation of Heuristic Search Strategies for Distribution Feeder Reconfiguration. IEEE Trans. Power Delivery 5(1):239-246.
    • (1990) IEEE Trans. Power Delivery , vol.5 , Issue.1 , pp. 239-246
    • Taylor, T.1    Lubkeman, D.2
  • 4
    • 0025469366 scopus 로고
    • Knowledge-based distribution system analysis and reconfiguration
    • Chiang, G. et al. 1990. Knowledge-Based Distribution System Analysis and Reconfiguration. IEEE Trans. Power Systems 5(3):744-749.
    • (1990) IEEE Trans. Power Systems , vol.5 , Issue.3 , pp. 744-749
    • Chiang, G.1
  • 5
    • 0026853415 scopus 로고
    • Distribution system service restoration using a heuristic search approach
    • Hsu, Y. Y. et al. 1992. Distribution System Service Restoration Using a Heuristic Search Approach. IEEE Trans. Power Delivery 7(2):734-740.
    • (1992) IEEE Trans. Power Delivery , vol.7 , Issue.2 , pp. 734-740
    • Hsu, Y.Y.1
  • 7
    • 0022226575 scopus 로고
    • Heuristic algorithms
    • Clancy, W. 1985. Heuristic Algorithms. Artificial Intelligence 27(3):289-350.
    • (1985) Artificial Intelligence , vol.27 , Issue.3 , pp. 289-350
    • Clancy, W.1
  • 9
    • 33747742334 scopus 로고    scopus 로고
    • Software Technology Branch, NASA Lyndon B. Johnson Space Center
    • Giarratano, J. C. 2002. CLIPS Version 6.20 User's Guide. Software Technology Branch, NASA Lyndon B. Johnson Space Center.
    • (2002) CLIPS Version 6.20 User's Guide
    • Giarratano, J.C.1
  • 10
    • 0030083956 scopus 로고    scopus 로고
    • Distribution system reconfiguration for loss reduction: An algorithm based on network partitioning theory
    • Sarfi, R. J. et al. 1996. Distribution System Reconfiguration for Loss Reduction: An Algorithm Based on Network Partitioning Theory. IEEE Trans Power Systems 11(1):504-510.
    • (1996) IEEE Trans Power Systems , vol.11 , Issue.1 , pp. 504-510
    • Sarfi, R.J.1
  • 11
    • 33750120055 scopus 로고    scopus 로고
    • A knowledge-based system for network radiality in a power distribution system
    • Accepted for publication to Las Vegas, CSREA Press
    • Sarfi, R. J., and Solo, A. M. G. 2005. A Knowledge-Based System for Network Radiality in a Power Distribution System. Accepted for publication to Proceedings of the 2005 International Conference on Artificial Intelligence. Las Vegas, CSREA Press.
    • (2005) Proceedings of the 2005 International Conference on Artificial Intelligence
    • Sarfi, R.J.1    Solo, A.M.G.2
  • 13
    • 0028697520 scopus 로고
    • Distribution system reconfiguration for loss reduction: A new algorithm based on a set of quantified heuristic rules
    • Sarfi, R. J. et al. 1994. Distribution System Reconfiguration for Loss Reduction: A New Algorithm Based on a Set of Quantified Heuristic Rules. In Proceedings of the 1994 Canadian Conference on Electrical and Computer Engineering. 125-130.
    • (1994) Proceedings of the 1994 Canadian Conference on Electrical and Computer Engineering , pp. 125-130
    • Sarfi, R.J.1
  • 14
    • 29344467693 scopus 로고    scopus 로고
    • The scientific consensus on climate change
    • Oreskes, N. 2004. The Scientific Consensus on Climate Change. Science Magazine 306(5702).
    • (2004) Science Magazine , vol.306 , Issue.5702
    • Oreskes, N.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.