scholarly journals CFD Simulation of Transonic Flow in High-Voltage Circuit Breaker

2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Xiangyang Ye ◽  
Mahesh Dhotre

A high-voltage circuit breaker is an indispensable piece of equipment in the electric transmission and distribution systems. Transonic flow typically occurs inside breaking chamber during the current interruption, which determines the insulating characteristics of gas. Therefore, accurate compressible flow simulations are required to improve the prediction of the breakdown voltages in various test duties of high-voltage circuit breakers. In this work, investigation of the impact of the solvers on the prediction capability of the breakdown voltages in capacitive switching is presented. For this purpose, a number of compressible nozzle flow validation cases have been presented. The investigation is then further extended for a real high-voltage circuit breaker geometry. The correlation between the flow prediction accuracy and the breakdown voltage prediction capability is identified.

2012 ◽  
Vol 8 (1) ◽  
pp. 67-71 ◽  
Author(s):  
Xiangyang Ye ◽  
Mahesh Dhotre ◽  
Sami Kotilainen ◽  
Michael Schwinne ◽  
Bernardo Galletti ◽  
...  

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Hongkui Yan ◽  
Xin Lin ◽  
Jianyuan Xu

In this article, we take a 126 kV single-break vacuum circuit breaker as the research object and study the application of high-energy-density PM motor in the high-voltage circuit breaker for the first time. The PM motor maintains maximum power density and torque density during the start-up phase. Note that most of the faults of high-voltage circuit breakers are mechanical faults. We designed a set of mechanical fault prediction systems for high-voltage circuit breakers. We present the prediction method of the opening and closing action curve of the high-voltage circuit breaker. It is inspired by Chaos Ant Colony Algorithm (CAS) and an optimized Long- and Short-Term Memory (LSTM) cycle neural network. We constructed the main structure of the neural network expert system and established the fault prediction model of the high-voltage circuit breaker, based on the LSTM cycle neural network, optimized by CAS. We used the improved least-square method to achieve the operation accuracy of the phase control switch. Finally, we completed the development and experiment of the prototype.


2014 ◽  
Vol 687-691 ◽  
pp. 1054-1057 ◽  
Author(s):  
Xian Ping Zhao ◽  
Zhi Wan Cheng ◽  
Xiang Yu Tan ◽  
Wei Hua Niu

High voltage circuit breaker is one of the most significant devices and its health status will impact security of the power system. In this paper, the method of high voltage circuit breakers mechanical fault diagnosis is discussed, fault diagnosis method based on vibration signal is proposed. Firstly, the collected acoustic signals are proceed by blind source separation processing through fast independent component analysis. Then, the acoustic signal feature vector is extracted by improved ensemble empirical mode decomposition (EEMD) and the residual signal is filtered by fractional differential. Finally, the feature vectors are input into support vector machine (SVM) for fault diagnosis. Experiment shows that the proposed method can get more precise fault classification to high voltage circuit breakers.


Author(s):  
J. G. Yang ◽  
K. Zhao ◽  
Y. Pan ◽  
X. D. Liu

High voltage circuit breaker (CB) is one of the most important components in high voltage circuit. In the process of operation, some kinds of mechanical faults such as jam fault, component deformation and component failure may occur and affect the performance of the circuit breaker. But, generally it is difficult to diagnose these faults. To obtain the characteristics of these faults in the high voltage circuit breaker, in this paper, a simulation method for high voltage circuit breakers is investigated. Firstly, the dynamic models of the operating mechanism of the high voltage circuit breaker are established and the simulations are performed; then the vibration signals at the monitoring points can be obtained based on finite element simulation. Based on these signals, the characteristics of some typical mechanical faults may be researched. The work in this paper is helpful to recognize the failure mechanism of the high voltage circuit breaker and improve the veracity of the fault diagnosis.


2013 ◽  
Vol 765-767 ◽  
pp. 2294-2298
Author(s):  
Pei Zhang ◽  
Shu Tao Zhao ◽  
Lu Shen ◽  
Jing Guo ◽  
Xiao Qian Tian

In order to ensure the reliability of the operational of circuit breaker, we used intelligent monitoring unit to realize the high-speed acquisition of the electrical, mechanical and insulated signal in the operation of the high voltage circuit breaker and actuator. Combined with signal processing and fault analysis theory, we estimate the operating status based on the accurate acquisition of the various operating parameters in breaker actuator. We also developed a system of remote online monitoring of circuit breaker status and fault diagnosis. The system ensures reliable operation of the circuit breaker. It also provides fast and accurate information for operation scheduling and maintenance personnel and accumulates large amounts of raw data for the state overhaul of the circuit breaker.


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