A Method for Decomposing Dynamic Load Signals and Its Application |
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| Ling Zheng, Xuewei Wang, Jing Wang, Lan Qiu, Bo Li, Min Cao |
- Abstract:
- 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.
- Keywords:
- dynamic load, empirical mode decomposition, dynamic error test
- Download:
- IMEKO-TC4-2019-051.pdf
- DOI:
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