• DocumentCode
    647946
  • Title

    A multi-period optimal power flow model including battery energy storage

  • Author

    Zhongwei Wang ; Jin Zhong ; Dong Chen ; Yuefeng Lu ; Kun Men

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Univ. of Hong Kong, Hong Kong, China
  • fYear
    2013
  • fDate
    21-25 July 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Energy storage devices play a very important role in nowadays inter-connected power systems. They could be used for peak shaving as well as mitigating the fluctuations caused by distributed generation sources. The development of battery technologies makes it possible to integrate large-scale battery energy storage (BES) devices into power systems. In this paper, a multi-period optimal power flow (OPF) model including BES is proposed to study the effect of BES on power generation scheduling. The objective of the proposed model is to minimize the total generation cost considering charging and discharging costs of BES. State of charge (SOC) constraints and other power network constraints are taken into consideration in the model. The proposed model determines the optimal output power in each period as well as the battery charging/discharging schedule. Finally, the numerical example based on IEEE-30 system shows effectiveness and validity of the proposed model.
  • Keywords
    distributed power generation; load flow; power generation scheduling; power system interconnection; secondary cells; IEEE-30 system; OPF; SOC constraints; battery charging-discharging schedule; battery energy storage; distributed generation; inter-connected power systems; multiperiod optimal power flow; power generation scheduling; power network constraints; state of charge constraints; Batteries; Generators; Load flow; Optimization; Power generation; Battery energy storage; Generation scheduling; Optimal power flow; Power dispatch;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting (PES), 2013 IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESMG.2013.6672498
  • Filename
    6672498