Electrical Life Assessment of the Low-Voltage Circuit Breaker (LVCB) Considering Arc Voltage

Liu, Zhengjun; Wang, Li

doi:10.3390/en15093070

Cited by 5 publications

(6 citation statements)

References 30 publications

(40 reference statements)

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“…To simplify the calculation, the external circuit is equated to an RL series circuit. According to Kirchhoff's first law, the circuit equation can be obtained as shown in Equation (1).…”

Section: Control Equations and External Circuit Modelmentioning

confidence: 99%

“…From the distribution of the temperature of the arc at different moments of the ignition phase, it can be concluded that the evolution of the arc can be divided into the following stages. (1) The initial arc between the contacts in the air field and magnetic field under the action of continuous expansion, and an arc column with moving contact movement, expansion, and elongation. (2) The arc moves in the direction of the splitter, during which the arc is constantly bent and elongated, the arc voltage rises, and when it reaches the vicinity of the splitter, the arc column is squeezed by the splitter.…”

Section: Simulation Analysismentioning

confidence: 99%

“…When the fault current occurs, an air arc is generated between movable and fixed contacts in LVCBs, and then extinguished to interrupt the circuit. During the arcing process, the arc may erode the contacts, side walls, and metallic splitter plates, which seriously affects the design lifetime of LVCBs [1]. Therefore, how to analyze the arc interruption characteristics accurately and reasonably is of great importance for the optimal design of LVCBs to improve their electrical lifetime.…”

Section: Introductionmentioning

confidence: 99%

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Study of Arc Interruption Characteristics under Rated Current in Low Voltage Circuit Breakers

Wang,

Ge,

Cao

et al. 2023

Energies

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The breaking capacity of rated current is one of the important indexes to evaluate the performance of circuit breakers, which is usually measured experimentally and cannot be analyzed in terms of the arcing characteristics of the opening process. Simulation methods based on the magnetohydrodynamic (MHD) model of the arc can be used to obtain the macroscopic motion of the arc within the interrupter and the interaction of the arc with the contacts, walls, and splitter plates. Therefore, this paper focuses on the arc interruption characteristics’ underrated current in low voltage circuit breakers by MHD simulation. A more accurate and effective field-circuit coupling MHD simulation model of low voltage circuit breaker products is developed in this paper. A nonlinear conductivity model of the sheath layer is considered to better simulate the near-pole voltage drop and bending processes after the arc has been cut by the splitter. The time-dependent magnetic field generated by the arc is considered in the calculation. Additionally, the real-time parameters of the external circuit are coupled to reflect the evolution of the arc characteristics under the action of the external circuit. The simulation results intuitively and clearly show the evolution of the arc during the breaking process. Through this, an arc extinguishing chamber can be designed to effectively regulate the arc interruption characteristics, thereby improving the breaking capacity of the circuit breaker. The accuracy and efficiency of the proposed simulation method is verified by experiments. This method can be extended to the performance analysis of AC/DC low voltage circuit breakers.

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“…To simplify the calculation, the external circuit is equated to an RL series circuit. According to Kirchhoff's first law, the circuit equation can be obtained as shown in Equation (1).…”

Section: Control Equations and External Circuit Modelmentioning

confidence: 99%

Section: Simulation Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Study of Arc Interruption Characteristics under Rated Current in Low Voltage Circuit Breakers

Wang,

Ge,

Cao

et al. 2023

Energies

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show abstract

“…Cui et al proposed a new method of rolling bearing fault feature extraction based on improved switching Kalman filtering. After a comparison with the traditional Kalman filtering algorithm, each iteration of the method requires only the current monitoring data measurements and the optimal estimation of the previous moment, which is computationally efficient and has strong real-time performance [5].…”

Section: Introductionmentioning

confidence: 99%

Algorithm for extracting spectral features of substation high-voltage isolation switch card shibboleth faults

Lai,

Li,

Chen

et al. 2024

J. Phys.: Conf. Ser.

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Disconnectors are susceptible to equipment defects and hidden dangers due to the harsh natural environment, the impact of load fluctuations in the power grid, and manufacturers’ manufacturing processes. The current production of commonly used fault diagnosis technology is limited, and the number of features extracted from on-site data cannot timely and accurately reflect the equipment failure conditions. Therefore, this paper uses the substation high-voltage isolation switch jamming fault spectrum feature extraction algorithm, the use of high-frequency acquisition technology to establish the power characteristics of mathematical models and current characteristics of mathematical models, and the normal operation and jamming fault data for classification. To establish a sample library of fault models for the current time curve of the knife gate action process, for the typical faults of the disconnecting switch (not in place, reversal and jams, etc.), simulation is carried out in the laboratory environment to form a series of sample libraries of the motor fault waveforms; it is shown by the test that it is feasible to utilize the power of the motor of the high-voltage disconnecting switch during the opening and closing of the gate action process to determine the faults of the high-voltage disconnecting switch mechanism.

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“…F. Xing et al improved the prediction model by considering the influence of arc duration on contact erosion, resulting in increased accuracy [ 5 ]. Liu Z et al studied the impact of arc voltage on the electrical lifespan of circuit breakers, using Monte Carlo methods to simulate the distribution of electrical lifespan under different operations [ 6 ]. K. Huang et al proposed a fuzzy reliability-based lifespan assessment model and an improved gray prediction method based on stepwise data sequences to predict the remaining lifespan of circuit breakers [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

The Prediction of Residual Electrical Life in Alternating Current Circuit Breakers Based on Savitzky-Golay-Long Short-Term

Ouyang

Chi

2023

Sensors

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In order to improve the accuracy of predicting the remaining electrical life of AC circuit breakers, ensure the safe operation of electrical equipment, and reduce economic losses caused by equipment failures, this paper studies a method based on the Savitzky–Golay convolution smoothing long short-term memory neural network for predicting the electrical life of AC circuit breakers. First, a full lifespan test is conducted to obtain degradation data throughout the entire life cycle of the AC circuit breaker, from which feature parameters that effectively reflect its operational state are extracted. Next, principal component analysis and the maximum information coefficient are used to remove redundancy in the feature parameters and choose the best subset of features. Subsequently, the Savitzky–Golay convolutional smoothing algorithm is employed to smooth the feature sequence, reducing the impact of noise and outliers on the feature sequence while preserving its main trends. Then, a secondary feature extraction is performed on the smoothed feature subset to obtain the optimal secondary feature subset. Finally, the remaining electrical lifespan of the AC circuit breaker is treated as a long-term sequence problem and the long short-term memory neural network method is used for precise time-series forecasting. The proposed model outperforms backpropagation neural networks and the gate recurrent unit in terms of prediction precision, achieving an impressive 97.4% accuracy. This demonstrates the feasibility of using time-series forecasting for predicting the residual electrical lifespan of electrical equipment and provides a reference for optimizing the method of predicting remaining electrical life.

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Electrical Life Assessment of the Low-Voltage Circuit Breaker (LVCB) Considering Arc Voltage

Cited by 5 publications

References 30 publications

Study of Arc Interruption Characteristics under Rated Current in Low Voltage Circuit Breakers

Study of Arc Interruption Characteristics under Rated Current in Low Voltage Circuit Breakers

Algorithm for extracting spectral features of substation high-voltage isolation switch card shibboleth faults

The Prediction of Residual Electrical Life in Alternating Current Circuit Breakers Based on Savitzky-Golay-Long Short-Term

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