• DocumentCode
    3453941
  • Title

    Bilateral negotiation of energy contracts from the buyer perspective

  • Author

    Mateus, J.C. ; Cuervo, P.

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Brasilia, Brasilia, Brazil
  • fYear
    2009
  • fDate
    26-30 July 2009
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    In this study presented a decision support model considering the perspective of a buyer who needs evaluating a basic set of contractual conditions. The approach recognizes that a potential new contract under negotiation introduces two main risks: One is related to the insufficiency of load supply (ILS) to end users. Other risk is related with the volatility of the short term spot prices used as a reference for defining the contractual price. Both of these risks are estimated based on the Monte Carlo method and payment minimization. Important characteristics of bilateral contracts like, the necessary modulation to compensate seasonal load variations and the flexibility margins are considered in the model. In case the risks levels are not acceptable, the model makes possible to evaluate a review in the previous conditions in a responsive manner. Results show that with this tool, agents have important information about the negotiated offers being able to clearly define margins of negotiation. These margins are based on the relationships between levels of risk and contractual conditions. The proposed tool is easy to implement and gives a strong support in the decision making process during negotiation of bilateral energy contracts.
  • Keywords
    Monte Carlo methods; contracts; decision making; electrical contracting; power markets; risk management; Monte Carlo method; bilateral energy contract; decision making process; decision support model; electricity market; payment minimization; risk analysis; risk management; short term spot prices; Contracts; Economic forecasting; Load management; Mathematical model; Minimization methods; Portfolios; Predictive models; Random variables; Regulators; Statistical analysis; Bilateral Contracts; Contractual Conditions; Monte Carlo Simulation; Risk Management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power & Energy Society General Meeting, 2009. PES '09. IEEE
  • Conference_Location
    Calgary, AB
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4244-4241-6
  • Type

    conf

  • DOI
    10.1109/PES.2009.5260230
  • Filename
    5260230