• DocumentCode
    2131953
  • Title

    Forecasting and validation tools for distribution networks with Active Demand

  • Author

    Paoletti, S. ; Vicino, A. ; Zima, M. ; Timbus, A. ; Quadrelli, A. ; Petretto, G. ; Scalari, S.

  • Author_Institution
    Dip.to Ing. dell´´Inf., Univ. di Siena, Siena, Italy
  • fYear
    2012
  • fDate
    9-12 Sept. 2012
  • Firstpage
    641
  • Lastpage
    646
  • Abstract
    Active Demand (AD) refers to the active participation of small consumers in energy systems by means of the flexibility they can provide. Since these consumers do not have direct access to energy markets, in the EC FP7 project ADDRESS a new intermediary function, called the aggregator, has been introduced to bridge this gap. The aggregator gathers the flexibilities provided by consumers to form AD-based products, and offers the AD-based products to energy system participants through various markets. In this framework, the Distribution System Operator (DSO) has the role to check whether the traded AD-based products are compatible with the network constraints and operation. To do this, it needs suitable applications to validate the feasibility of AD-based products. The contribution of this paper is to present such applications developed within ADDRESS, together with algorithms for forecasting of load and distributed generation providing necessary inputs to validation tools.
  • Keywords
    distributed power generation; load forecasting; AD-based products; DSO; EC FP7 project AD-DRESS; active demand; aggregator; distributed generation; distribution networks; distribution system operator; energy systems; forecasting tools; load forecasting; validation tools; Forecasting; Load forecasting; Load modeling; Real-time systems; Weather forecasting; Wind speed; Wind turbines; Active demand; forecasting; smart grids; validation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energy Conference and Exhibition (ENERGYCON), 2012 IEEE International
  • Conference_Location
    Florence
  • Print_ISBN
    978-1-4673-1453-4
  • Type

    conf

  • DOI
    10.1109/EnergyCon.2012.6348231
  • Filename
    6348231