• DocumentCode
    3222912
  • Title

    Intelligent Control and Application of All-Function Active Power Filter

  • Author

    Liu, Guiying ; Su, ShiPing ; Peng, Peng

  • Author_Institution
    Sch. of Electr. & Inf. Eng., Changsha Univ. of Sci. & Technol., Changsha
  • Volume
    1
  • fYear
    2008
  • fDate
    20-22 Oct. 2008
  • Firstpage
    1078
  • Lastpage
    1081
  • Abstract
    An all-function active power filter which can compensate harmonics inter-harmonics, asymmetries, fundamental sequence reactive powers and so on is introduced in this paper. Its basic concept and main features working process are illuminated briefly. To solve the difficulty problem of control for all-function active power filter, its intelligent control strategy and working process based on BP neural network are expounded. First, basic theory of BP neural network to control all-function active power is analyzed. Then, the basic configuration and working process of an all-function active power filter based on BP neural network control strategy is detailed. Finally, simulations and simulative results are given. Theory analysis and the simulative results show that the intelligent control strategy based on BP neural network can make all-function active power filter in possession of full function and predominant working characteristics.
  • Keywords
    active filters; adaptive control; backpropagation; compensation; neurocontrollers; nonlinear control systems; power harmonic filters; reactive power control; BP neural network; all-function active power filter; fundamental sequence reactive power; harmonics compensation; intelligent control; inter-harmonics; nonlinear process; Active filters; Artificial neural networks; Intelligent control; Multi-layer neural network; Network topology; Neural networks; Neurons; Power harmonic filters; Power system harmonics; Pulse width modulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
  • Conference_Location
    Hunan
  • Print_ISBN
    978-0-7695-3357-5
  • Type

    conf

  • DOI
    10.1109/ICICTA.2008.439
  • Filename
    4659657