Research on identification method of transformer winding material based on vibration characteristic

Abstract

At present, there are shoddy transformers in the market, of which the windings are replaced by aluminum and copper clad aluminum. The commissioning of these transformers may cause poor power supply performance and excessive winding heating. The existing detection methods of windings are complex, time-consuming to operate and destructive. Therefore, a winding material identification method based on vibration characteristics is proposed. Firstly, the vibration accelerations of transformer cores and windings with different winding materials are theoretically derived. Furthermore, through the coupling simulation of magnetic field and structure field of distribution transformers, the calculated vibration characteristics of copper, aluminum, and copper clad aluminum are verified. Finally, by comparing the time domain, the frequency domain and time-frequency domain of acceleration signals, preliminary identification of winding materials is conducted, which lays a theoretical foundation for establishing a precise identification model for winding materials in the future. This work provides guarantee for the safe operation of the distribution network.

Keywords

Transformer identification of winding material vibration characteristics multi-physical field coupling time-frequency analysis

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References

Arkadan

A.A.

and Gutierrez-McCoy

M.A.

, Power transformer characterization and design optimization environment, IEEE Transactions on Magnetics 59(5) (2023), 1–5.

Wellington

D.S.F.

Diorge

D.S.L.

Lima Adry

K.F.

, Analysis of electromagnetic-mechanical stresses on the winding of a transformer under inrush currents conditions, International Journal of Applied Electromagnetics and Mechanics 50(4) (2016), 511–524.

M.M.

H.B.

, Annual maintenance plan optimization for distribution transformers considering the reliability performance, Science Technology and Engineering 17(6) (2017), 213–219.

Orr

W.W.

, Aluminum and its future in power transformers, Transactions of the American Institute of Electrical Engineers. Part III: Power Apparatus and Systems 77(3) (1958), 978–979.

Sumit

Vineet

Pankaj

, Review of transformer core and winding design with material used, Lecture Notes in Mechanical Engineering 2021 (2021), 39–49.

Xia

Y.T.

Zheng

Z.Y.

and Yin

Z.D.

, Material identification method of transformer winding based on current skin effect, Science Technology and Engineering 22(1) (2022), 184–191.

D.S.

Zhang

L.Y.

C.S.

, Nondestructive identification methods of power transformer winding material, Nondestructive Testing 40(8) (2018), 39–45.

Olivares-Galvan

J.C.

de Leon

Georgilakis

P.S.

, Selection of copper against aluminium windings for distribution transformers, IET Electric Power Applications 4(6) (2010), 474–485.

X.H.

and Yu

C.L.

, The judgment method of aluminum conductor oil immersed transformer, Electric Engineering 2014(5) (2014), 19–20.

10.

Karer

Dorninger

Wenninger

, Automatic simulation model for transformer windings, Materialstoday: Proceedings 62(5) (2022), 2469–2474.

11.

Mills

, Machinability of Engineering Materials, Springer Science & Business Media, 2012.

12.

Zhang

D.D.

Zhou

Z.Q.

Shen

, Testing method for winding materials of three-phase transformers based on principle of thermocouple, High Voltage Apparatus 55(9) (2019), 254–259.

13.

Jin

C.C.

G.Q.

Yao

Current situation analysis for the identification and on-line monitoring of distribution transformer winding materials, in: 8th International Forum on Electrical Engineering and Automation (IFEEA), IEEE, Xi’an, China, 2021.

14.

Tripathy

S.C.

and Lakervi

, Evaluation of transformer loading above nameplate rating, Electric Machines & Power Systems 28(7) (2000), 625–636.

15.

X.X.

Zhou

N.R.

, Transformer winding material identification method based on thermoelectric effect, High Voltage Engineering 42(7) (2016), 2275–2280.

16.

Zhang

R.Q.

X.J.

Jiang

, An X-ray radiographic comparison and Identification method for coil materials in distribution transformers, Nondestructive Testing 37(1) (2015), 49–55.

17.

Wang

D.H.

Wang

, Novel field-circuit assisted FEA of 110 kV power transformer for noise control and vibration reduction, International Journal of Applied Electromagnetics and Mechanics 64(1-4) (2020), 289–298.

18.

Z.P.

Zhao

S.C.

, Extraction method of power quality characteristic basis based on vibration signal of transformer, Transformer 59(1) (2022), 34–39.