• DocumentCode
    2229080
  • Title

    Transmission planning in deregulated markets considering GenCos´ strategic behavior

  • Author

    Motamedi, Amir ; Zareipour, Hamidreza ; Rosehart, W.D.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Calgary, Calgary, AB, Canada
  • fYear
    2008
  • fDate
    28-30 Sept. 2008
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    This paper proposes a new approach for long-term transmission expansion planning, from the ISO´s point of view, in electricity markets where only the generation sector is deregulated. The strategic behavior of generation companies is simulated using the simulated annealing Q-learning technique, and the market operation is modeled. Considering the predicted system data, various likely generation expansion scenarios are evaluated by the system operator, and the most likely scenario is selected according to a predefined objective. Based on this scenario, the ISO evaluates several transmission expansion plans, and the one that maximizes the competition level in the market is selected. A small 5-bus test system is used to demonstrate the proposed approach.
  • Keywords
    learning (artificial intelligence); power engineering computing; power markets; power transmission economics; power transmission planning; simulated annealing; strategic planning; 5-bus test system; GenCo strategic behavior; ISO; Q-learning technique; deregulated markets; electricity markets; generation companies; generation expansion scenarios; long-term transmission expansion planning; reinforcement-learning model; simulated annealing; system operator; Electricity supply industry; Electricity supply industry deregulation; ISO; Investments; Power generation; Power generation economics; Power system planning; Random number generation; Strategic planning; Temperature; Transmission planning; generation expansionreinforcement learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Symposium, 2008. NAPS '08. 40th North American
  • Conference_Location
    Calgary, AB
  • Print_ISBN
    978-1-4244-4283-6
  • Type

    conf

  • DOI
    10.1109/NAPS.2008.5307304
  • Filename
    5307304