• DocumentCode
    135234
  • Title

    Optimal operation of Energy Storage in distribution systems with Renewable Energy Resources

  • Author

    Bozchalui, Mohammad Chehreghani ; Sharma, Ritu

  • Author_Institution
    Energy Manage. Dept., NEC Labs. America Inc., Cupertino, CA, USA
  • fYear
    2014
  • fDate
    11-14 March 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents a framework for optimal operation scheduling of Energy Storage Systems (ESSs) in coordination with Renewable Energy Resources (RERs) in distribution systems. The proposed framework is a multi-time interval optimization problem that includes an efficient three-phase unbalanced Distribution Optimal Power Flow (DOPF) model. Mathematical models for RERs and ESS are integrated into the problem, and multiple objective functions such as minimization of losses, imbalanced power at the substation, total energy costs, and peak demand are formulated to optimally operate distribution networks from the perspective of a local distribution company. The proposed framework generates optimal charge/discharge scheduling of ESSs, while meeting technical and operational requirements of distribution networks and ESSs. Relevant simulation results for a test system with multiple solar PVs and two ESSs are presented and discussed to highlight the effectiveness of the proposed method to optimally operate distribution systems with multiple ESSs and RERs.
  • Keywords
    energy storage; load flow; optimisation; power distribution economics; power generation scheduling; solar cells; ESS charge-discharge scheduling generation; RER; distribution network system; distribution optimal power flow; energy storage system; multiple objective functions; multitime interval optimization; renewable energy resources; solar PV module; three phase unbalanced DOPF model; Discharges (electric); Energy storage; Linear programming; Load modeling; Mathematical model; Minimization; Optimization; Distribution systems; energy storage; operation; optimization; renewable energy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Systems Conference (PSC), 2014 Clemson University
  • Conference_Location
    Clemson, SC
  • Type

    conf

  • DOI
    10.1109/PSC.2014.6808125
  • Filename
    6808125