IMPLEMENTATION OF HEURISTIC-SEARCH STRATEGIES FOR DISTRIBUTION FEEDER RECONFIGURATION

被引:168
作者
TAYLOR, T
LUBKEMAN, D
机构
[1] Electric Power Research Center, School of Engineering, North Carolina State University, Raleigh
关键词
Artificial Intelligence; Distribution Automation; Distribution System Planning; Expert Systems;
D O I
10.1109/61.107279
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper describes a method for feeder reconfiguration with the potential for handling realistic operating constraints. The approach taken is to set up a decision tree to represent the various switching operations available. A best-first tree searching strategy, based on heuristics, is used to evaluate the various alternatives. Switching options which could result in overloads, voltage problems, or other operating constraints, such as those associated with system protection, are quickly eliminated as possibilities. The development of a rule-based system aimed at the reduction of the search space is presented as a means of implementing the above strategy. An example is used to illustrate the concepts described above. © 1989 IEEE
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页码:239 / 246
页数:8
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