• DocumentCode
    3522033
  • Title

    Effects of loss models on locational reserve policies in uncertain power systems

  • Author

    Vorac, P. ; Georgiev, Dobromir

  • Author_Institution
    Eur. Centre of Excellence, Univ. of West Bohemia in Pilsen, Pilsen, Czech Republic
  • fYear
    2013
  • fDate
    10-13 Dec. 2013
  • Firstpage
    372
  • Lastpage
    378
  • Abstract
    Renewable energy sources (RES) often provide intermittent power at distributed locations in transmission and distribution networks. Storage devices distributed across the network are recognized as an important tool for compensating such power fluctuations. Operational policies of storage devices considered in literature focus solely on network balance. Here, the consumed network capacity is also considered. A linear network model with uncertain power and storage elements is supplemented with three possible models of line losses. Policy computation is formulated in each case as a convex optimization problem. The different solutions are compared in terms of computational complexity and policy structure. A single solution shows preference for local energy storage and remains computationally efficient. Other solutions either do not respond to uncertainty or attempt to reduce uncertainty using unnecessary power transmissions. Hence, the results yield a useful loss model as well as characterize undesirable behaviors that should be avoided with future models.
  • Keywords
    convex programming; energy storage; load flow; power system reliability; renewable energy sources; RES; computational complexity; convex optimization problem; distributed locations; distribution networks; intermittent power; line losses; linear network model; local energy storage; loss model; network balance; network capacity; operational policies; policy computation; policy structure; power fluctuations; renewable energy sources; storage devices; transmission networks; uncertain power system; uncertain storage elements; Computational modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
  • Conference_Location
    Firenze
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-5714-2
  • Type

    conf

  • DOI
    10.1109/CDC.2013.6759910
  • Filename
    6759910