Identification of Characterization Factor for Power System Oscillation Based on Multiple Synchronized Phasor Measurements

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  • Hashiguchi Takuhei
    Department of Electrical Engineering, Graduate School of Engineering, Osaka University
  • Watanabe Masayuki
    Department of Electrical, Electronic and Computer Engineering, Faculty of Engineering, Kyushu Institute of Technology
  • Matsushita Akihiro
    Department of Electrical, Electronic and Computer Engineering, Faculty of Engineering, Kyushu Institute of Technology
  • Mitani Yasunori
    Department of Electrical, Electronic and Computer Engineering, Faculty of Engineering, Kyushu Institute of Technology
  • Saeki Osamu
    Department of Electrical Engineering, Graduate School of Engineering, Osaka University
  • Tsuji Kiichiro
    Department of Electrical Engineering, Graduate School of Engineering, Osaka University
  • Hojo Masahide
    Department of Electrical and Electronic Engineering, Faculty of Engineering, The University of Tokushima
  • Ukai Hiroyuki
    Department of Computer Science and Engineering, Graduate School of Engineering, Nagoya Institute of Technology

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Other Title
  • 多地点同期フェーザ量計測に基づく電力動揺の特性係数の同定
  • タチテン ドウキ フェーザリョウ ケイソク ニ モトヅク デンリョク ドウヨウ ノ トクセイ ケイスウ ノ ドウテイ

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Electric power systems in Japan are composed of remote and distributed location of generators and loads mainly concentrated in large demand areas. The structures having long distance transmission tend to produce heavy power flow with increasing electric power demand. In addition, some independent power producers (IPP) and power producer and suppliers (PPS) are participating in the power generation business, which makes power system dynamics more complex. However, there was little observation as a whole power system. In this paper the authors present a global monitoring system of power system dynamics by using the synchronized phasor measurement of demand side outlets. Phasor Measurement Units (PMU) are synchronized based on the global positioning system (GPS). The purpose of this paper is to show oscillation characteristics and methods for processing original data obtained from PMU after certain power system disturbances triggered by some accidents. This analysis resulted in the observation of the lowest and the second lowest frequency mode. The derivation of eigenvalue with two degree of freedom model brings a monitoring of two oscillation modes. Signal processing based on Wavelet analysis and simulation studies to illustrate the obtained phenomena are demonstrated in detail.

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