• DocumentCode
    1759884
  • Title

    A Statistical Evaluation of the Capability of Distributed Renewable Generator-Energy-Storage System in Providing Load Low-Voltage Ride-Through

  • Author

    Saadat, Nima ; Choi, S.S. ; Vilathgamuwa, D. Mahinda

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
  • Volume
    30
  • Issue
    3
  • fYear
    2015
  • fDate
    42156
  • Firstpage
    1128
  • Lastpage
    1136
  • Abstract
    The capability of a distributed renewable generator (DRG) in providing load low-voltage ride-through (LVRT) is examined. The harnessed renewable power, load demand, and the occurrences of low-voltage incidents are treated as random variables. The probability of successful load LVRT is assessed through the use of a copula function to quantify the stochastic dependency between the load and the renewable power. The analysis is then applied to the case of a series-connected photovoltaic DRG incorporated with capacitor energy storage, wherein the focus is to establish the analytical relationship between the probability of successful load LVRT and the rated power/energy capacities of the DRG capacitor. Determination of the optimal capacities of the DRG capacitor is achieved through maximization of the expected economic benefits obtained from the renewable energy harness and load LVRT minus the cost of the DRG capacitor.
  • Keywords
    distributed power generation; energy storage; load management; probability; renewable energy sources; DRG; LVRT; capacitor energy storage; copula function; distributed renewable generator-energy-storage system; load demand; low-voltage incidents; low-voltage ride-through; renewable power; Capacitors; Generators; Joints; Power system stability; Random variables; Voltage fluctuations; Copula function; load low-voltage ride-through; renewable generator; statistical analysis;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/TPWRD.2014.2360340
  • Filename
    6915758