• DocumentCode
    182900
  • Title

    Fluid Stochastic Petri Nets based Modelling and simulation of Micro Hydro Power stations behaviour

  • Author

    Avram, Camelia ; Mircescu, Dan ; Astilean, Adina ; Ghiran, O.

  • Author_Institution
    Autom. Dept., Tech. Univ. of Cluj Napoca, Cluj-Napoca, Romania
  • fYear
    2014
  • fDate
    22-24 May 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The present paper proposes a Fluid Stochastic Petri Nets based model, with a flexible and modular structure, to represent the behavioural characteristics and possible interactions among the controlled Micro Hydro Power units in a run of the river chain. Environmental influences were embedded, the final goal of the proposed modelling method being to simulate the dynamicity of the hydrographic assembly in order to optimize the management of water resources. The proposed approach was developed, the case study of a micro hydropower stations chain situated in the hydrographic basin of Someş river being considered. An UPPAAL based simulation was realized in various conditions corresponding to environmental changes and taking into account the main functioning characteristics of the components. Verified by simulation, control modules were implemented as a part of a SCADA system designed for complex automation of a micro hydropower plant.
  • Keywords
    Petri nets; hydroelectric power stations; SCADA system; Someş river; UPPAAL based simulation; environmental influences; flexible structure; fluid stochastic Petri nets; hydrographic assembly; hydrographic basin; microhydro power stations behaviour; modular structure; river chain; water resources management; Automata; Fluids; Hydroelectric power generation; Logic gates; Petri nets; Rivers; Turbines; Fluid Stochastic Petri Nets; Micro Hydro Power Plant; modelling; simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation, Quality and Testing, Robotics, 2014 IEEE International Conference on
  • Conference_Location
    Cluj-Napoca
  • Print_ISBN
    978-1-4799-3731-8
  • Type

    conf

  • DOI
    10.1109/AQTR.2014.6857889
  • Filename
    6857889