Xiaozhen Zhao

Prof. Dr. Xiaozhen Zhao

School of Electrical Engineering, Hebei University of Technology, Tianjin, China
orcid

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Representative Publications

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25 August 2014 in IEEE Transactions on Dielectrics and Electrical Insulation
Verified
Journal Article
Closed access
CYChenguo Yao
Chenguo Yao
ZZZhongyong Zhao
Zhongyong Zhao
YCYu Chen
Yu Chen
Xiaozhen ZhaoXiaozhen Zhao
Xiaozhen Zhao
ZLZhaojiong Li
Zhaojiong Li
GWGang Wei
Gang Wei
Transformer winding deformation is common among all sorts of transformer failures. Cumulative deformation can eventually burgeon into catastrophic faults and result in entire network outage. It is possible to detect the early signs of faults with continuous online monitoring transformer. However, frequency response analysis (FRA) is considered to be a useful and accurate tool for sufficient detection. This paper aims at proposing a novel diagnostic system for online monitoring power transformer winding deformation based on FRA. In order to realize online monitoring transformer winding, the system uses the capacitive coupling method to inject controllable nanosecond pulses, which function as the excitation signal of winding, and to obtain the response signal. This proposed method may extend frequency range for analysis and perhaps could early detect minor winding movement and looseness. Transformer experiments show great prospect in the application of the system.

1 October 2019 in International Journal of Electrical Power & Energy Systems
Verified
Journal Article
Closed access
Xiaozhen ZhaoXiaozhen Zhao
Xiaozhen Zhao
CYChenguo Yao
Chenguo Yao
Ahmed Abu-SiadaAhmed Abu-Siada
Ahmed Abu-Siada
RLRuijin Liao
Ruijin Liao

30 January 2025 in Electric Power Systems Research
Verified
Journal Article
Closed access
Xiaozhen ZhaoXiaozhen Zhao
Xiaozhen Zhao
GWGe Wu
Ge Wu
DYDingqian Yang
Dingqian Yang
GXGuanghu Xu
Guanghu Xu
YXYunqi Xing
Yunqi Xing
Ahmed Abu-SiadaAhmed Abu-Siada
Ahmed Abu-Siada

24 July 2018 in IEEE Transactions on Instrumentation and Measurement
Verified
Journal Article
Closed access
ZLZhenhua Li
Zhenhua Li
YTYuan Tao
Yuan Tao
Ahmed Abu-SiadaAhmed Abu-Siada
Ahmed Abu-Siada
MMMohammad A. S. Masoum
Mohammad A. S. Masoum
ZLZhenxing Li
Zhenxing Li
Xiaozhen ZhaoXiaozhen Zhao
Xiaozhen Zhao
With the growing global interest in developing future smart grids, nonconventional instrument transformers have been given much attention. In contrary with the classic magnetic core current transformer, electronic current transformer (ECT) does not exhibit saturation, is of small volume, and can generate a digital signal complying with the recent digital communication protocols such as the IEC61850. However, the measurement accuracy of the ECT is influenced by the mechanical vibration caused by the adjacent circuit breaker (CB) operation and the bus bar electromagnetic forces generated due to short-circuit currents. According to the GB/T 20840.8 and the IEC 60044-8 standards, the root mean square of the ECT output current should not exceed 3% of the rated secondary current after 5-ms duration following a CB operation or a large current of a short duration. Current ECT vibration compliance test does not correlate the ECT output current with the CB or the large current signal to correctly identify their ending moment. As such, the current testing technique may reveal inaccurate outcomes. This paper proposes a new vibration testing platform for ECT in which the status of the vibration source is synchronously correlated with the ECT output signal. A status monitoring circuit is proposed and implemented to achieve synchronous acquisition and comparison of the CB status and the ECT output current. In addition, a primary current sensor is designed to accurately realize the end time of any short-time large current. A software platform is developed to correctly identify the CB breaking moment and the end of the large current. The robustness and superiority of the proposed testing platform are validated through extensive simulation and practical analyses.

1 June 2019 in International Journal of Electrical Power & Energy Systems
Verified
Journal Article
Closed access
Xiaozhen ZhaoXiaozhen Zhao
Xiaozhen Zhao
CYChenguo Yao
Chenguo Yao
CLChengxiang Li
Chengxiang Li
CZCheng Zhang
Cheng Zhang
SDShoulong Dong
Shoulong Dong
RLRuijin Liao
Ruijin Liao

1 December 2017 in IEEE Transactions on Dielectrics and Electrical Insulation
Verified
Journal Article
Closed access
Xiaozhen ZhaoXiaozhen Zhao
Xiaozhen Zhao
CYChenguo Yao
Chenguo Yao
ZZZhongyong Zhao
Zhongyong Zhao
Ahmed Abu-SiadaAhmed Abu-Siada
Ahmed Abu-Siada
Winding deformation is a critical power transformer issue that needs to be detected as soon as it emerges due to its progressive nature and severe consequences it may lead to. Frequency response analysis (FRA) is the only reliable technique currently used to detect such deformation. However, the technique is conducted offline that may cause interruption to the electricity grid when taking an operating transformer out of service for testing. Moreover, as the current FRA technique is only conducted on suspected units, a mechanical fault may emerge and progress before the utility becomes aware of. To overcome these limitations, this paper presents a practical feasibility study to detect transformer winding deformations online. The technique relies on utilizing transient overvoltage signals that a transformer is subjected to during its normal operation as a natural variable frequency excitation source. The feasibility of utilizing various transient overvoltage signals as excitation source for transformer FRA signature measurement is firstly investigated and optimum signal parameters are recommended based on signal voltage and energy spectrum analyses. Secondly, the proposed technique is verified through simulation analysis by comparing the transformer frequency response signatures when transient overvoltage and conventional sweep frequency voltage are used as excitation sources. Also, experimental testing is conducted to assess the feasibility of the proposed technique to identify various winding deformations such as radial buckling, telescoping and short circuit turns. Custom-made capacitive voltage divider is developed to accurately detect the response of transient overvoltage signals generated due to environmental conditions or power system switching operations. The proposed technique along with the developed capacitive voltage divider is implemented on a 3-phase Wye-Delta, 50 Hz, 31.5 MVA, 110/10.5 kV power transformer to measure the frequency response signatures of the high voltage winding.