• DocumentCode
    1721152
  • Title

    Efficient energy only markets

  • Author

    Aghaie, Hamid ; Haas, Reinhard

  • Author_Institution
    Energy Econ. Group, Vienna Univ. of Technol., Vienna, Austria
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper analyzes the impact of scarcity prices and demand response capacity on the resource adequacy in the German energy-only market with a probabilistic framework. By considering the uncertainty both in generation and demand side, we implement a Monte Carlo analysis to examine all potential economic and reliability outcomes. A system dynamic model is proposed to evaluate the hourly and annual production costs, prices, frequency of scarcity events and profitability of new installed capacities. Results show that increasing the price cap to approach to the Value of Lost Load (VOLL) leads to shorter period of high prices and shorter period of high Loss of Load Probability (LOLP) and less frequency of load shedding. Also, higher demand response capacity reduces the load shedding frequency and mitigates the resource adequacy problem in the energy-only market.
  • Keywords
    Monte Carlo methods; demand side management; load shedding; power generation reliability; power markets; German energy-only market; LOLP; Monte Carlo analysis; VOLL; demand response capacity; demand side; efficient energy only markets; generation side; load shedding; loss of load probability; potential economic; probabilistic framework; reliability outcomes; resource adequacy; scarcity price impact; system dynamic model; value of lost load; Electricity supply industry; Investment; Load management; Load modeling; Mathematical model; Reliability; Uncertainty; Demand response; Electricity market; Loss of load probability; Price cap; Resource adequacy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    European Energy Market (EEM), 2015 12th International Conference on the
  • Conference_Location
    Lisbon
  • Type

    conf

  • DOI
    10.1109/EEM.2015.7216736
  • Filename
    7216736