Ant algorithms for the optimal restoration of distribution feeders during cold load pickup

被引：12

作者：

Mohanty, I ^{[1
]}

Kalita, J ^{[1
]}

Das, S ^{[1
]}

Pahwa, A ^{[1
]}

Buehler, E ^{[1
]}

机构：

[1] Univ Colorado, Dept Comp Sci, Colorado Springs, CO 80933 USA

来源：

PROCEEDINGS OF THE 2003 IEEE SWARM INTELLIGENCE SYMPOSIUM (SIS 03) | 2003年

关键词：

distribution system restoration; cold load pickup; ant colony optimization;

D O I：

10.1109/SIS.2003.1202258

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The ant colony algorithm is a new technique for combinatorial optimization borrowed from swarm intelligence. This paper outlines an ant colony algorithm to compute the optimal order of restoring sections in a power distribution system. Restoration of distribution feeders after long interruptions creates cold load pickup conditions due to loss of diversity among the loads. The distribution system load may have to be restored step-by-step using sectionalizing switches under such conditions to prevent overheating of substation transformer. The restoration time is dependent on the order in which sections are restored. Results obtained using this method for two test cases are presented including a comparison with the simulated annealing algorithm.

引用

页码：132 / 137

页数：6

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