• DocumentCode
    506770
  • Title

    Energy-based coordinated control of generator and static var compensator in power systems with nonlinear loads

  • Author

    Li, Jianyong ; Liu, Yanhong ; Li, Chunwen ; Zhang, Lijun

  • Author_Institution
    Sch. of Comput. & Commun. Eng., Zhengzhou Univ. of Light Ind., Zhengzhou, China
  • Volume
    2
  • fYear
    2009
  • fDate
    20-22 Nov. 2009
  • Firstpage
    767
  • Lastpage
    771
  • Abstract
    Using the Hamiltonian function method, this paper investigates the coordinated control of generator and static var compensator (SVC) in power systems with nonlinear loads. First, via a proper variable transformation and pre-feedback control, the dissipative Hamiltonian realization of the power system is completed. The operating point is set to a desired value simultaneously. Then, based on the dissipative Hamiltonian realization, an energy-based coordinated controller is constructed. The proposed controller can effectively utilize the internal structure of the system and is simple in form. Simulation results indicate that the coordinated controller can improve the transient stability of the system.
  • Keywords
    differential algebraic equations; feedback; power system transient stability; static VAr compensators; Hamiltonian function method; dissipative Hamiltonian realization; energy-based coordinated control; nonlinear loads; power systems; prefeedback control; static var compensator; transient stability; variable transformation; Control systems; Nonlinear control systems; Power generation; Power system control; Power system dynamics; Power system modeling; Power system stability; Power system transients; Power systems; Static VAr compensators; Hamiltonian function method; coordinated control; nonlinear differential algebraic systems; power systems; static var compensator;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-4754-1
  • Electronic_ISBN
    978-1-4244-4738-1
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2009.5358290
  • Filename
    5358290