• DocumentCode
    1760400
  • Title

    Optimal Operation of Industrial Energy Hubs in Smart Grids

  • Author

    Paudyal, Sumit ; Canizares, Claudio A. ; Bhattacharya, Kankar

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Michigan Technol. Univ., Houghton, MI, USA
  • Volume
    6
  • Issue
    2
  • fYear
    2015
  • fDate
    42064
  • Firstpage
    684
  • Lastpage
    694
  • Abstract
    This paper presents the development of a generic optimal industrial load management (OILM) model, which can be readily incorporated into energy hub management systems (EHMSs) for industrial customers, in interaction with local distribution companies (LDCs), for automated and optimal scheduling of their processes. The mathematical models comprise an objective function to minimize the total energy costs and/or demand charges for industrial customers, and a set of equality and inequality constraints to represent the industrial process, storage units, distribution system components, operator´s requirements, and other relevant constraints. The effectiveness of the proposed OILM model is demonstrated in two industrial customers: 1) a flour mill; and 2) a water pumping facility. The results show that the proposed OILM model, in conjunction with communication and control infrastructures at the customer and LDC levels, would allow optimal operation of industrial EHMSs in smart grids.
  • Keywords
    load management; optimisation; power generation scheduling; smart power grids; automated scheduling; energy hub management systems; flour mill; industrial customers; industrial energy hubs; local distribution companies; optimal industrial load management model; optimal scheduling; smart grids; water pumping facility; Equations; Load modeling; Materials; Mathematical model; Optimization; Power demand; Smart grids; Distribution systems; energy management systems; industrial load management; optimization;
  • fLanguage
    English
  • Journal_Title
    Smart Grid, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3053
  • Type

    jour

  • DOI
    10.1109/TSG.2014.2373271
  • Filename
    6987282