DocumentCode
691813
Title
Automatic Generation Method of Optimization Scheme for Orderly Power Utilization Based on Genetic Algorithm
Author
Huang Jian-jun ; Zuo Qing-lin ; Mu Fu-lin
Author_Institution
Chongqing Electr. Power Co., Chongqing, China
fYear
2013
fDate
21-22 Dec. 2013
Firstpage
72
Lastpage
77
Abstract
The orderly power utilization management has become an important way to realize the reasonable distribution of the existing power resources. Currently, the formulation of orderly power utilization scheme mainly depends on the experiences of power experts. When the process has multifarious information and computation burdens, it is hard to formulate the orderly power utilization schemes timely and efficiently only depending on the experts. Hence, this paper proposes an automatic generation method of optimization scheme for orderly power utilization. The method involves the establishment of evaluation index system, calculation models and evaluation function, and searching for optimization scheme through the genetic algorithm. At last the simulation and experimental verification are performed. The results show that the proposed method can provide a powerful reference to the final scheme of orderly power utilization, thus achieving the goal of optimizing the allocation of resources and the maximization of social benefits.
Keywords
genetic algorithms; power system management; power utilisation; automatic generation method; calculation models; evaluation function; evaluation index system; genetic algorithm; optimization scheme; orderly power utilization; Biological cells; Data mining; Electricity; Genetic algorithms; Indexes; Optimization; Resource management; evaluation function; evaluation index system; genetic algorithm; orderly power utilization; orderly power utilization scheme;
fLanguage
English
Publisher
ieee
Conference_Titel
Dependable, Autonomic and Secure Computing (DASC), 2013 IEEE 11th International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4799-3380-8
Type
conf
DOI
10.1109/DASC.2013.40
Filename
6844340
Link To Document