• DocumentCode
    1778007
  • Title

    An ANN strategy for luminance control of LED in response to power system frequency

  • Author

    Liqiang Gao ; Zhongkang Wei ; Xiaodong Chu ; Wen Zhang

  • Author_Institution
    Key Lab. of Power Syst. Intell. Dispatch & Control of Minist. of Educ., Shandong Univ., Jinan, China
  • fYear
    2014
  • fDate
    20-22 Oct. 2014
  • Firstpage
    2007
  • Lastpage
    2012
  • Abstract
    Controllable load can actively participate in power balance control, which will have positive impact on power system operation. Lighting load takes a significant proportion in the electricity demand. Many features of Light emitting diodes (LEDs), small size, high luminous efficiency and long lifetime, make them very attractive for use in lighting. An Artificial Neural Network (ANN) control strategy is designed for LED luminance control in response to power system frequency. The pulse width modulation (PWM) dimming method is used to realize luminance control of LED. In order to regulate the LED power demand in response to frequency measurement signal, the ANN control strategy adjusts the ratio between the on-time and off-time of the PWM dimming signal of LED. Simulations are conducted to verify the effectiveness of the proposed the ANN control strategy.
  • Keywords
    brightness; frequency measurement; light emitting diodes; neural nets; power control; power system control; power system stability; pulse width modulation; ANN; LED; artificial neural network; frequency measurement; light emitting diodes; luminance control; power balance control; power system frequency; pulse width modulation dimming; Artificial neural networks; Biological neural networks; Frequency control; Light emitting diodes; Power system stability; Pulse width modulation; Artificial Neural Network; LED luminance control; constant current control; power system frequency;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power System Technology (POWERCON), 2014 International Conference on
  • Conference_Location
    Chengdu
  • Type

    conf

  • DOI
    10.1109/POWERCON.2014.6993944
  • Filename
    6993944