Real-Time Distributed Control of Battery Energy Storage Systems for Security Constrained DC-OPF

Yinliang Xu, Jiefeng Hu, Wei Gu, Wencong Su, Wenxin Liu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

30 Citations (Scopus)


The introduction of fast-response battery energy storage system (BESS) provides a number of advantages to address the new challenges of smart grids, including improving the reliability and security of the power grids. This paper proposes a real-time distributed control algorithm to the corrective security-constrained DC optimal power flow problem for transmission network. The objective is to minimize the adjustment of the BESSs, while maintaining the supply-demand balance and ensuring no security constraint violations in the post-contingency state for the short-term period. Comparing to the conventional centralized methods, only simple local computation and information exchange with neighbors are required to update the local control signal, which leads to fast response of the BESSs to alleviate the impact of the transmission line outage. Real-time simulation results of the modified 6-bus and 24-bus systems demonstrate that the dynamic performances of proposed distributed algorithm satisfy standard requirements and indicate its applicability for practical power grid.
Original languageEnglish
Pages (from-to)1580-1589
Number of pages10
JournalIEEE Transactions on Smart Grid
Issue number3
Publication statusPublished - 1 May 2018


  • battery energy storage
  • DC optimal power flow
  • Distributed control algorithm
  • real-time implementation
  • security-constrained

ASJC Scopus subject areas

  • General Computer Science


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