Title :
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
fDate :
6/24/1905 12:00:00 AM
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;
Conference_Titel :
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7282-4
DOI :
10.1109/CEC.2002.1004518
