DocumentCode :
2168397
Title :
Scheduling of direct load control by a recursive genetic algorithm
Author :
Yao, Leehter ; Hsieh, Kai-chin
Author_Institution :
Nat. Taipei Univ. of Technol., Taiwan
Volume :
3
fYear :
1998
fDate :
11-14 Oct 1998
Firstpage :
2460
Abstract :
A modified GA called recursive GA is proposed to optimize the scheduling of direct load control strategies. The control strategy (or scheduling) arranged by the recursive GA not only shed the load so that the load required to be shed at each sampling interval is individually satisfied, but also minimize the shedding load to minimize the utility company´s revenue loss due to DLC. Moreover, the scheduling obtained by the proposed recursive GA tends to level off the accumulated shedding time of each load group to avoid customers´ complaints about fairness of shedding time
Keywords :
digital simulation; genetic algorithms; load regulation; load shedding; power generation scheduling; probability; accumulated shedding time; direct load control; recursive genetic algorithm; revenue loss; sampling interval; Air conditioning; Control systems; Genetic algorithms; Load flow control; Marketing and sales; Optimal scheduling; Power generation; Radio control; Switches; Turning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on
Conference_Location :
San Diego, CA
ISSN :
1062-922X
Print_ISBN :
0-7803-4778-1
Type :
conf
DOI :
10.1109/ICSMC.1998.725026
Filename :
725026
Link To Document :
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