183 / 2019-04-25 13:48:52
A Method for Decomposing Dynamic Load Signals and Its Application
Dynamic Load,Empirical Mode Decomposition,Dynamic Error Test
Abstract Accepted
Ling Zheng / Beijing University of Chemical Technology
Xuewei Wang / Beijing University of Chemical Technology
Jing Wang / Beijing University of Chemical Technology
Lan Qiu / Beijing University of Chemical Technology
Bo Li / Electric Power Research Institute of Yunnan Power Grid Co., Ltd.
Min Cao / Electric Power Research Institute of Yunnan Power Grid Co., Ltd.
The current and power signals of high-power nonlinear dynamic load devices exhibit complex, random, fast-changing dynamic characteristics. These dynamic characteristics seriously affect the accurate measurement of smart electricity meters. Therefore, the research on the dynamic characteristic of high-power dynamic load has become an important issue to be solved in the field of error testing of smart electricity meters. Dynamic load signal decomposition is the basis and key issue for analyzing load dynamic characteristics. In this paper, the non-stationary stochastic process modulation model of dynamic load signal is established firstly. A method of least squares empirical mode power decomposition is studied, which divides the signal into quasi-steady-state terms and dynamic terms. Secondly, based on the proposed decomposition method, the actual collected signals of electrified railway traction substation are decomposed, which proves the effectiveness of the proposed model and the decomposition method. The theoretical method of this paper provides theoretical support for the dynamic error test of smart electricity meter.
Important Date
  • Conference Date

    Sep 17

    2019

    to

    Sep 19

    2019

  • Mar 17 2019

    Draft paper submission deadline

  • Apr 30 2019

    Draft Paper Acceptance Notification

  • May 31 2019

    Final Paper Deadline

  • Sep 19 2019

    Registration deadline

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