Rule-Expert Knowledge-Based Petri Net Approach for Distribution System Temperature Adaptive Feeder Reconfiguration

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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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