• DocumentCode
    3761457
  • Title

    Load modeling assumptions: What is accurate enough?

  • Author

    Abdel Rahman Khatib;Mahipathi Appannagari;Scott Manson;Spencer Goodall

  • Author_Institution
    Schweitzer Engineering Laboratories, Inc., 2350 NE Hopkins Court, Pullman, WA 99163, USA
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    9
  • Abstract
    This paper presents an elegant method for determining the simplest model of a power system electrical/mechanical load that will suffice for dynamic frequency power system studies and closed-loop simulation work. The strategy behind this technique is to supply the simplest load model possible that gives sufficiently accurate results for the goals of each unique modeling effort. The paper identifies the frequency characteristics of several different load types. It also identifies the level of load model detail required for testing typical power management systems, contingency-based load-shedding systems, frequency-based load-shedding systems, governor control systems, island/grid/unit autosynchronization systems, and exciter control systems. The paper describes how to lump loads without loss of fidelity, when an induction motor needs to be modeled as a single-cage or double-cage motor model, what sort of mechanical load model is appropriate, when we can assume zero inertia for a direct-on-line type of load, and how to verify the turbine/generator inertia and load inertia from field tests. This paper concludes with a simple reference that engineers can use to specify the level of detail required when modeling industrial power system loads.
  • Keywords
    "Power system stability","Generators","Load modeling","Stability analysis","Rotors","Frequency response","Control systems"
  • Publisher
    ieee
  • Conference_Titel
    Petroleum and Chemical Industry Committee Conference (PCIC), 2015 IEEE
  • ISSN
    0090-3507
  • Print_ISBN
    978-1-4799-8501-2
  • Electronic_ISBN
    2161-8127
  • Type

    conf

  • DOI
    10.1109/PCICON.2015.7435092
  • Filename
    7435092