• DocumentCode
    2808044
  • Title

    Research on economic optimal operation of microgrid

  • Author

    Peng Li ; Shuangle Zhang ; Yang Wang ; Guofan Sun ; Lihui Zhou ; Xin Wang

  • Author_Institution
    State Key Lab. of Alternate Electr. Power Syst. with Renewable Energy Sources, North China Electr. Power Univ., Baoding, China
  • fYear
    2012
  • fDate
    Oct. 30 2012-Nov. 2 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Microgrid can effectively integrates micro-sources, loads and energy storage devices; can make economic and environmental benefits by using new energy power generation; can better meet the requirements of customers for higher power quality and reliability of power supply. The optimal operation of the microgrid is a complex optimization problem, which contains multi-goal and multiple constraint situations. In this paper, it takes the minimum economic cost and the smallest power loss of the microgrid as the objective function, considers a variety of constraints then builds a multi-objective function model for the optimal operation of microgrid. This article improves the chaos optimization algorithm and applies this algorithm to the optimization of microgrid. The simulation results verify that the proposed chaos optimization algorithman commendably achieve optimal operation of microgrid under multi-objective.
  • Keywords
    distributed power generation; optimisation; power distribution economics; power distribution reliability; power supply quality; economic optimal operation; energy power generation; energy storage devices; microgrid; microsources; multigoal situations; multiobjective function model; multiple constraint situations; optimization algorithm; power quality; power supply reliability; Batteries; Conferences; Economics; microgrid; multi-objective chaos optimization; optimal operation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power System Technology (POWERCON), 2012 IEEE International Conference on
  • Conference_Location
    Auckland
  • Print_ISBN
    978-1-4673-2868-5
  • Type

    conf

  • DOI
    10.1109/PowerCon.2012.6401343
  • Filename
    6401343