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    Please use this identifier to cite or link to this item: http://ir.lib.ksu.edu.tw/handle/987654321/3806


    Title: Rule-Expert Knowledge-Based Petri Net Approach for Distribution System Temperature Adaptive Feeder Reconfiguration
    Authors: ChuangYing-Chun (莊英俊)
    KeYu-Lung
    ChenChao-Shun
    ChenYuan-Lin
    Keywords: rule-expert knowledge-based Petri net (RKPN)
    switching operation
    load transfer
    feeder reconfiguration
    load balance
    service restoration
    temperature sensitivity
    Date: 2006-08
    Issue Date: 2009-08-15 19:47:48 (UTC+8)
    Abstract: This study presents a novel inference mechanism to determine appropriate switching operations by rule-expert knowledge-based Petri net (RKPN) approach. A practical distribution system with 26 feeders is specified to reveal the effectiveness of the developed methodology with computer simulations. The proposed inference mechanism can successfully solve feeder overload/fault contingency based on the load variations resulting from temperature rises.
    Relation: IEEE Transactions on Power Systems, v. 21, no. 3, August 2006, p. 1362-1370
    Appears in Collections:[電機工程系所] 期刊論文

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