• DocumentCode
    3290361
  • Title

    Integrated Smart Grid Hierarchical Control

  • Author

    Meliopoulos, A.P. ; Cokkinides, George J. ; Huang, Renke ; Farantatos, Evangelos

  • fYear
    2012
  • fDate
    4-7 Jan. 2012
  • Firstpage
    1967
  • Lastpage
    1976
  • Abstract
    A previous paper presented a new smart grid infrastructure for active distribution systems that will allow continuous and accurate monitoring of distribution system operations and customer utilization of electric power. This paper presents the utilization of this system for the purpose of optimizing the operation of the system over a rolling planning horizon. Specifically, we propose the use of a hierarchical optimization method that optimizes the operation of the system by scheduling the operation of various resources with storage capability. The hierarchical method has three levels: (a) distribution feeder optimization, (b) substation level optimization, and (c) system optimization. At the lowest level (feeder optimization) the problem is formulated as a quadratic optimization problem that is solved via barrier methods. At the higher levels the problem is formulated as a stochastic dynamic programming problem. The proposed method captures the uncertainty associated with many resources in the system resulting from the integration of renewables. Finally, a method is proposed for the business case analysis of the benefits of the proposed scheme and results for a hypothetical system are presented.
  • Keywords
    dynamic programming; power system control; quadratic programming; smart power grids; stochastic programming; substations; active distribution systems; barrier methods; business case analysis; customer utilization; distribution feeder optimization; distribution system operations; electric power; hierarchical method; hierarchical optimization method; hypothetical system; integrated smart grid hierarchical control; quadratic optimization problem; rolling planning horizon; smart grid infrastructure; stochastic dynamic programming problem; storage capability; substation level optimization; system optimization; Dynamic programming; Mathematical model; Optimization; Planning; Real time systems; State estimation; Substations; Distributed Energy Resources; Hierarchical Control; Smart Grid; State Estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Science (HICSS), 2012 45th Hawaii International Conference on
  • Conference_Location
    Maui, HI
  • ISSN
    1530-1605
  • Print_ISBN
    978-1-4577-1925-7
  • Electronic_ISBN
    1530-1605
  • Type

    conf

  • DOI
    10.1109/HICSS.2012.331
  • Filename
    6149126