Coordinated Reactive Power Control of a Large Wind Farm and a STATCOM Using Heuristic Dynamic Programming

  • Qiao W
  • Harley R
  • Venayagamoorthy G
  • 28

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Abstract

A novel interface neurocontroller (INC) is proposed for the coordinated reactive power control between a large wind farm equipped with doubly fed induction generators (DFIGs) and a static synchronous compensator (STATCOM). The heuristic dynamic programming (HDP) technique and radial basis function neural networks (RBFNNs) are used to design this INC. It effectively reduces the level of voltage sags as well as the over-currents in the DFIG rotor circuit during grid faults, and therefore, significantly enhances the fault ride-through capability of the wind farm. The INC also acts as a coordinated external damping controller for the wind farm and the STATCOM, and therefore, improves power oscillation damping of the system after grid faults. Simulation studies are carried out in PSCAD/EMTDC and the results are presented to verify the proposed INC.

Author-supplied keywords

  • DFIG rotor circuit
  • DYNAMIC programming
  • Heuristic dynamic programming (HDP)
  • PSCAD/EMTDC
  • STATCOM
  • asynchronous generators
  • coordinated external damping controller
  • coordinated reactive power control
  • doubly fed induction generators
  • grid faults
  • heuristic dynamic programming
  • interface neurocontroller
  • interface neurocontroller (INC)
  • neurocontrollers
  • over-currents
  • power oscillation damping
  • power system CAD
  • radial basis function networks
  • radial basis function neural networks
  • reactive power control
  • static VAr compensators
  • static synchronous compensator
  • static synchronous compensator (STATCOM)
  • wind farm
  • wind power plants

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Authors

  • Wei Qiao

  • R G Harley

  • G K Venayagamoorthy

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