• DocumentCode
    1795634
  • Title

    Optimal payment sharing mechanism for renewable energy aggregation

  • Author

    Harirchi, Farshad ; Vincent, Tracey ; Dejun Yang

  • Author_Institution
    Colorado Sch. of Mines, Golden, CO, USA
  • fYear
    2014
  • fDate
    3-6 Nov. 2014
  • Firstpage
    608
  • Lastpage
    613
  • Abstract
    Renewable energy aggregation has been introduced as a solution to reduce the uncertainty of this type of sources. In this work we propose a new mechanism to share the profit of the aggregate amongst individual producers. Calculating optimal contract for individual producers and the aggregate is the first requirement in order to propose a payment sharing mechanism that has been addressed in the literature. Different researchers utilized various methods from coalitional game theory to statistical methods to introduce payment sharing mechanisms. In this work we propose a novel payment sharing mechanism that maximizes the aggregate profit in first place. The payments to the individuals are based on their actual production instead of the expected. We also show that this method will pay more to the individuals in average compared to previous methods.
  • Keywords
    contracts; game theory; optimisation; power generation economics; renewable energy sources; statistical analysis; wind power plants; coalitional game theory; optimal contract; payment sharing mechanism; renewable energy aggregation; statistical methods; Aggregates; Contracts; Games; Production; Renewable energy sources; Smart grids; Wind power generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Smart Grid Communications (SmartGridComm), 2014 IEEE International Conference on
  • Conference_Location
    Venice
  • Type

    conf

  • DOI
    10.1109/SmartGridComm.2014.7007714
  • Filename
    7007714