A genetic algorithm approach for optimal distribution feeder restoration during cold load pickup

Author

Chavali, Sudhakar ; Pahwa, Anil ; Das, Sanjoy

Author_Institution

Dept. of Electr. & Comput. Eng., Kansas State Univ., Manhattan, KS, USA

Volume

2

fYear

2002

fDate

6/24/1905 12:00:00 AM

Firstpage

1816

Lastpage

1819

Abstract

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 the substation transformer. The restoration time is dependent on the order in which sections are restored. A method based on a genetic algorithm to find the globally best restoration sequence of sections is presented in this paper. Results obtained using this method for a test case are presented

Keywords

genetic algorithms; power distribution faults; power system restoration; cold load pickup; genetic algorithm; genetic edge recombination; globally best restoration sequence; loss of diversity; mutation; optimal distribution feeder restoration; sectionalizing switches; step-by-step restoration; substation transformer overheating prevention; Genetic algorithms; Load modeling; Power system restoration; Space heating; Strontium; Substations; Switches; Temperature; Testing; Water heating;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on

Conference_Location

Honolulu, HI

Print_ISBN

0-7803-7282-4

Type

conf

DOI

10.1109/CEC.2002.1004518

Filename

1004518