• DocumentCode
    70377
  • Title

    Grid Inertial Response-Based Probabilistic Determination of Energy Storage System Capacity Under High Solar Penetration

  • Author

    Meng Yue ; Xiaoyu Wang

  • Author_Institution
    Sustainable Energy Technol. Dept., Brookhaven Nat. Lab., Upton, NY, USA
  • Volume
    6
  • Issue
    3
  • fYear
    2015
  • fDate
    Jul-15
  • Firstpage
    1039
  • Lastpage
    1049
  • Abstract
    It is well known that responsive battery energy storage systems (BESSs) are effective means to improve the grid inertial response to various disturbances including the variability of the renewable generation. One of the major issues associated with its implementation is the difficulty in determining the required BESS capacity mainly due to the large amount of inherent uncertainties that cannot be accounted for deterministically. In this study, a probabilistic approach is proposed to properly size the BESS from the perspective of the system inertial response, as an application of probabilistic risk assessment (PRA). The proposed approach enables a risk-informed decision-making process regarding 1)the acceptable level of solar penetration in a given system and 2)the desired BESS capacity (and minimum cost) to achieve an acceptable grid inertial response with a certain confidence level.
  • Keywords
    decision making; energy storage; power grids; risk management; secondary cells; solar power; BESS; PRA; energy storage system capacity; grid inertial response; probabilistic determination; probabilistic risk assessment; renewable generation; responsive battery energy storage systems; risk-informed decision-making process; solar penetration; system inertial response; Clouds; Correlation; Generators; Probabilistic logic; Random variables; Transient analysis; Battery energy storage system (BESS); fast cloud transient; inertial response; probabilistic risk assessment (PRA); solar generation;
  • fLanguage
    English
  • Journal_Title
    Sustainable Energy, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3029
  • Type

    jour

  • DOI
    10.1109/TSTE.2014.2328298
  • Filename
    6844064