• Title of article

    A sequential Monte Carlo model of the combined GB gas and electricity network

  • Author/Authors

    Modassar Chaudry، نويسنده , , Jianzhong Wu، نويسنده , , Nick Jenkins، نويسنده ,

  • Issue Information
    ماهنامه با شماره پیاپی سال 2013
  • Pages
    11
  • From page
    473
  • To page
    483
  • Abstract
    A Monte Carlo model of the combined GB gas and electricity network was developed to determine the reliability of the energy infrastructure. The model integrates the gas and electricity network into a single sequential Monte Carlo simulation. The model minimises the combined costs of the gas and electricity network, these include gas supplies, gas storage operation and electricity generation. The Monte Carlo model calculates reliability indices such as loss of load probability and expected energy unserved for the combined gas and electricity network. The intention of this tool is to facilitate reliability analysis of integrated energy systems. Applications of this tool are demonstrated through a case study that quantifies the impact on the reliability of the GB gas and electricity network given uncertainties such as wind variability, gas supply availability and outages to energy infrastructure assets. Analysis is performed over a typical midwinter week on a hypothesised GB gas and electricity network in 2020 that meets European renewable energy targets. The efficacy of doubling GB gas storage capacity on the reliability of the energy system is assessed. The results highlight the value of greater gas storage facilities in enhancing the reliability of the GB energy system given various energy uncertainties.
  • Keywords
    Monte Carlo , Gas and electricity network , Security of supply
  • Journal title
    Energy Policy
  • Serial Year
    2013
  • Journal title
    Energy Policy
  • Record number

    974631