• 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