Tianzheng Wang

Research on Application of Multiple Optical Pattern Recognition Model in Power Equipment

This paper is mainly research on the power equipment of visible light spectrum recognition model. The main contents of the research include constructing experimental evaluation of image acquisition standard operating system, establishing multi-spectral sample library for power equipment, studying HDFS mode based image data storage and management technology, constructing spectral testing technology data centre service framework for power equipment, typical equipment image recognition and analysis algorithm for power network, etc. Through the study of these technologies, we aim to achieve the identification of electrical equipment.

Measurement and analysis of UHV transformer noise with sound intensity and vibration method

With the rapid increase of the substation grade, the number of ultra-high voltage (UHV) transformer is increasing and the noise caused by the vibration of UHV transformer is becoming more and more serious. The vibration of UHV transformer is mainly generated from the magnetostrictive effect of the iron core and the action of the electromagnetic force of the winding. In this paper, the sound intensity and the vibration of the 1000kV UHV transformer are measured and the frequency characteristic is analyzed in detail. The vibration acceleration distribution on the oil tank surface of the transformer is measured and analyzed. The results can provide data support for the transformer noise source identification and the noise suppression measures.

Noise analysis of UHV power transformer and research on active noise reduction system

With the rapid development of the power grid and the increase of power demand, the voltage level of the substation is improving rapidly. The noise caused by the transformer becomes a serious problem because it affects the health of the surrounding residents. In this paper, the noise of 1000kV transformer in Shanxi is measured and analyzed. The results show that the transformer noise has low frequency characteristics, and the frequency is mainly concentrated in 100Hz and its integer times. According to the transformer noise characteristics, an adaptive active noise reduction system is designed based on least mean square (LMS) adaptive filtering algorithm. The influence of filter step size factor and filter coefficient on the convergence and stability of LMS adaptive filtering algorithm is analyzed through simulation. The active noise reduction system is built and then the noise reduction experiment is carried out. Achieved about 6 dB noise reduction.

Research and Application Toward the Atlas Variation Detection Technology of Soft Sensor in Substation’s State Intelligence Analysis System

To improve the substation’s remote monitoring capability, this system adopts the computer technology, automation technology, and atlas processing and atlas recognition technology to analyze and compare massive monitoring data, so as to improve retrieval efficiency of the video, provide a new kind of monitoring way to monitor the substation’s environmental security situation, the abnormality of electrical equipment, automatic tracking of abnormal target and other monitoring requirements, and realize intelligent warning of the substation’s fault information.

Simulation analysis of permanent magnet motor in high voltage disconnecting switch under different structure and winding parameters

The permanent magnet motor is presented and employed in GIS disconnecting switch in order to reduce the VFTO in operation and enhance the operating performance in motion, which it can achieve the opening and closing operation, have a good quicker response ability and control performance for the disconnecting switch. The mathematical model of motor is developed, which the dynamic behavior is carried out by using the transient finite element method. The speed characteristics of motor are computed considering the different structure and winding parameters of driving motor such as the operating voltage, length to diameter ratio, length of air-gap, thickness of permanent magnet, pole arc coefficient and turns and line width ratio. The results indicate that permanent magnet motor have an excellent performance which can give a sufficient speed to meet the requirements of disconnecting switch. It can provide a base for shorten the design cycle and reduce the performance testing cost of permanent magnet motor which applied in GIS disconnecting switch.