• DocumentCode
    1778960
  • Title

    Reactive modelling of on-site energy system components for real-time application

  • Author

    Ghadimi, Pezhman ; Kara, Sadik ; Kornfeld, Bernard

  • Author_Institution
    Sch. of Mech. & Manuf. Eng., Univ. of New South Wales, Sydney, NSW, Australia
  • fYear
    2014
  • fDate
    2-6 June 2014
  • Firstpage
    219
  • Lastpage
    224
  • Abstract
    The principle objective of this paper is to develop comprehensive models of on-site energy system components. This should facilitate reliable and optimal operation management of these systems in real-time. In practice management of these systems is mainly dependent on fixed operation planning of the integrated components. However the presence of multiple components, dynamic constraints and intermittent resources pose a dynamic and complex problem where the existing management schemes cannot lead to optimal practices at the utilisation stage. Consequently the value of a real-time management scheme that can guarantee system reliability, unit commitment, and optimal operational objectives is identified. However there is a lack of research on relevant modelling approaches of on-site energy system components to address real-time application requirements. To fulfill these gaps, we have proposed a reactive state-based modelling of potential components and associated model development methodology. This should enable models to encompass operational behavior of individual components and their aggregation as a system in a more reliable and applicable manner. Finally, reactive models of an existing manufacturing plant´s energy system components are developed and validated as a case study. The results illustrate potential of proposed modelling approach in comparison with existing ones to be applied in real-time.
  • Keywords
    power system management; power system reliability; power system simulation; dynamic constraints; fixed operation planning; integrated components; intermittent resources; on-site energy system; optimal operation management; optimal operational objectives; reactive modelling; real-time application; real-time management; system reliability; unit commitment; Biological system modeling; Boilers; Cogeneration; Data models; Load modeling; Mathematical model; Real-time systems; On-site energy system; Reactive modelling; Real-time energy management; State-based modelling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Energy and Power Systems (IEPS), 2014 IEEE International Conference on
  • Conference_Location
    Kyiv
  • Print_ISBN
    978-1-4799-2265-9
  • Type

    conf

  • DOI
    10.1109/IEPS.2014.6874183
  • Filename
    6874183