• DocumentCode
    3624902
  • Title

    Unified Approach to Reliability Assessment in an Isolated RES System

  • Author

    G. Taljan;M. Pantos;A. F. Gubina

  • Author_Institution
    Faculty of Electrical Engineering, University of Ljubljana, Tr?a?ka 25 SI-1000 Ljubljana, e-mail: gtaljan@strela.fe.uni-lj.si.
  • fYear
    2006
  • fDate
    6/1/2006 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Due to their unique characteristics, renewable energy sources (RES) are an ideal energy source for small isolated power systems (SIPS). At the same time, the reliability impacts of RES electricity supply should be carefully studied, especially in SIPS with significant RES installed capacity. One of the most potent methods for this purpose is system well-being analysis, accounting for deterministic and stochastic reliability factors. In the paper, we present a novel method for calculation of system well-being indices based on contingency enumeration (CE) method. We also investigate the energy-oriented energy not served (ENS) index and propose an improved method for its calculation. The indices are then used to analyze the impacts of different hybrid generation structures and RES penetration levels on supply reliability of the system. We investigate the suitability of different reliability assessment schemes and pertaining indices for reliability of hybrid energy sources in SIPS. The results show-that due to the ability of the ENS index to measure the severity of the risky state, both types of indices are needed to satisfactorily observe the supply reliability, especially in hybrid-supplied SIPS
  • Keywords
    "Power system reliability","Wind energy generation","Wind speed","Hybrid power systems","Power system modeling","Renewable energy resources","Wind forecasting","Power system analysis computing","Power system planning","Wind power generation"
  • Publisher
    ieee
  • Conference_Titel
    Probabilistic Methods Applied to Power Systems, 2006. PMAPS 2006. International Conference on
  • Print_ISBN
    978-91-7178-585-5
  • Type

    conf

  • DOI
    10.1109/PMAPS.2006.360323
  • Filename
    4202335