1. Parameters Identification and Application of Equivalent Circuit at Low Frequency of Oil-Paper Insulation in Transformer
- Author
-
Yiming Xie and Jiangjun Ruan
- Subjects
Materials science ,General Computer Science ,simulated annealing particle swarm optimization ,020209 energy ,Frequency domain spectroscopy ,Interfacial polarization ,02 engineering and technology ,Low frequency ,01 natural sciences ,law.invention ,frequency domain spectroscopy ,law ,Control theory ,steady-state insulation resistance ,0103 physical sciences ,0202 electrical engineering, electronic engineering, information engineering ,General Materials Science ,Transformer ,interfacial polarization ,010302 applied physics ,General Engineering ,Oil-paper insulation equivalent circuit ,Frequency domain ,Equivalent circuit ,lcsh:Electrical engineering. Electronics. Nuclear engineering ,Simulated annealing particle swarm optimization ,Insulation resistance ,lcsh:TK1-9971 - Abstract
The low frequency section of frequency domain spectroscopy (FDS) of oil-paper insu- lation system can effectively reflect the ageing state and moisture of the oil-immersed paper. Meanwhile, steady-state insulation resistance is the one of indexes for the condition of transformer. In actual measurement, these two both are time-consuming and poor accessibility, thereby restraining their field applications. Aim at this problem, this paper analyses the polarization process of the oil-paper insulation in transformer, and adopts a low frequency equivalent circuit model for the oil-paper insulation to characterize the polarization process at low frequency. The simulated annealing particle swarm optimization (SAPSO) algorithm is proposed to identify the parameters in equivalent circuit, which are affected by change of insulation state. Compared with the experimental results, the errors of the steady-state insulation resistance and the tan δ below 10-3 Hz, which are calculated by the identified parameters, are less than 2.5%. This method can avoid the influence from external environment and reduce the measurement time. The time and frequency domain parameters calculated can provide reference for the ageing assessment of oil-immersed paper.
- Published
- 2020