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

Content Provider	IEEE Xplore Digital Library
Author	Mohanty, I. Kalita, J. Das, S. Pahwa, A. Buehler, E.
Copyright Year	2003
Description	Author affiliation: Dept. of Comput. Sci., Colorado Univ., Colorado Springs, CO, USA (Mohanty, I.; Kalita, J.)
Abstract	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.
Sponsorship	IEEE Nueral Networks Soc
Starting Page	132
Ending Page	137
File Size	365760
Page Count	6
File Format	PDF
ISBN	0780379144
DOI	10.1109/SIS.2003.1202258
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-04-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer science Ant colony optimization Power engineering computing Water heating Switches Power system restoration Distributed computing Springs Load modeling Power engineering and energy
Content Type	Text
Resource Type	Article

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