• DocumentCode
    253765
  • Title

    Method for instantly determining line drop compensator parameters of low-voltage regulator using multiple classifiers

  • Author

    Kikusato, Hiroshi ; Takahashi, Naoyuki ; Yoshinaga, Jun ; Fujimoto, Yasutaka ; Hayashi, Yasuhiro ; Kusagawa, Shinichi ; Motegi, Noriyuki

  • Author_Institution
    Waseda Univ., Tokyo, Japan
  • fYear
    2014
  • fDate
    12-15 Oct. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    A complicated voltage fluctuation in distribution systems and a decline in power quality occur when a large number of photovoltaic (PV) systems are installed. In this paper, the installation of a low-voltage regulator is assumed, and a method for instantly and accurately determining the line drop compensator (LDC) parameters is proposed to perform efficient voltage management, which consists of prediction, operation, and control. In the proposed method, the computational cost to derive the LDC parameters can be reduced by learning the optimality of the parameters in a series of load demands and the PV output using multiple classifiers. We performed numerical simulations to verify the validity of the proposed method. From the results, the classification accuracy is found to improve by considering the majority vote of multiple classifiers. Additionally, the improvement in the voltage control performance is verified.
  • Keywords
    distribution networks; learning (artificial intelligence); power supply quality; solar cell arrays; voltage control; voltage regulators; LDC parameter; PV system; computational cost reduction; distribution system; line drop compensator parameter determination method; load demand; low-voltage regulator; multiple classifier; photovoltaic system; power quality; voltage control performance improvement; voltage fluctuation; voltage management; Accuracy; Automatic voltage control; Fluctuations; Load flow; Optimization; Support vector machines; Distribution system; K-nearest-neighbor algorithm; LVR; Random forests; Support vector machine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 2014 IEEE PES
  • Conference_Location
    Istanbul
  • Type

    conf

  • DOI
    10.1109/ISGTEurope.2014.7028851
  • Filename
    7028851