Research on an Online Monitoring and Diagnosis System of High-Voltage Circuit Breaker

2014 ◽  
Vol 492 ◽  
pp. 212-217
Author(s):  
Ping Hao Ni ◽  
Wei Wang

The principle of an online monitoring and diagnosis system suitable for various kinds of High-voltage Circuit Breakers (HVCB) is presented in the paper. The system consists of distributed data acquisition devices, a communication system based on field bus, and a host based on B/S structure. The research presents the methods to select the main monitoring signals of high-voltage circuit breakers, to acquire data, and to calculate operational feature values, as well as realizes high-speed process to monitoring signals, valid online monitor to high-voltage circuit breakers, and 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.


Electronics ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 1204
Author(s):  
Gul Ahmad Ludin ◽  
Mohammad Amin Amin ◽  
Hidehito Matayoshi ◽  
Shriram S. Rangarajan ◽  
Ashraf M. Hemeida ◽  
...  

This paper proposes a new and surge-less solid-state direct current (DC) circuit breaker in a high-voltage direct current (HVDC) transmission system to clear the short-circuit fault. The main purpose is the fast interruption and surge-voltage and over-current suppression capability analysis of the breaker during the fault. The breaker is equipped with series insulated-gate bipolar transistor (IGBT) switches to mitigate the stress of high voltage on the switches. Instead of conventional metal oxide varistor (MOV), the resistance–capacitance freewheeling diodes branch is used to bypass the high fault current and repress the over-voltage across the circuit breaker. The topology and different operation modes of the proposed breaker are discussed. In addition, to verify the effectiveness of the proposed circuit breaker, it is compared with two other types of surge-less solid-state DC circuit breakers in terms of surge-voltage and over-current suppression. For this purpose, MATLAB Simulink simulation software is used. The system is designed for the transmission of 20 MW power over a 120 km distance where the voltage of the transmission line is 220 kV. The results show that the fault current is interrupted in a very short time and the surge-voltage and over-current across the proposed breaker are considerably reduced compared to other topologies.


2017 ◽  
Vol 4 (1) ◽  
pp. 95-98
Author(s):  
Z. Guo ◽  
X. Li ◽  
Y. Zhang ◽  
X. Guo ◽  
J. Xiong

CO<sub>2</sub> is identified as a promising alternative gas of SF<sub>6</sub>. The magnetohydrodynamics (MHD) arc model is established for a CO<sub>2</sub> circuit breaker. The influence of gas pressure is studied. The simulations are carried out for 0.5 MPa, 0.7 MPa and 0.9 MPa absolute filling pressure, allowing predictions of pressure and temperature distributions. The arc time constant θ and the power loss coefficient <em>Q</em> is extracted. The thermal interruption capability is estimated to grow with increasing filling pressure.


2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Viorel Nicolau

Many oil-based high-voltage circuit breakers are still in use in national power networks of developing countries, like those in Eastern Europe. Changing these breakers with new more reliable ones is not an easy task, due to their implementing costs. The acting device, called oleo-pneumatic mechanism (MOP), presents the highest fault rate from all components of circuit breaker. Therefore, online predictive diagnosis and early detection of the MOP fault tendencies are very important for their good functioning state. In this paper, fuzzy logic approach is used for the diagnosis of MOP-type drive mechanisms. Expert rules are generated to estimate the MOP functioning state, and a fuzzy system is proposed for predictive diagnosis. The fuzzy inputs give information about the number of starts and time of functioning per hour, in terms of short-term components, and their mean values. Several fuzzy systems were generated, using different sets of membership functions and rule bases, and their output performances are studied. Simulation results are presented based on an input data set, which contains hourly records of operating points for a time horizon of five years. The fuzzy systems work well, making an early detection of the MOP fault tendencies.


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.


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