Evaluation of residual service life of high voltage circuit breaker

Huang, Kai; Zhao, Shanshan

doi:10.1109/ciced.2012.6508698

Cited by 4 publications

(3 citation statements)

References 1 publication

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“…The turbine was also studied and measurements in the technical literature showed the impacted of fatigue on Pelton and Kaplan turbines [13], [14]. For the circuit breaker, the main causes of failure [15] and methods for estimating remaining life are reviewed [16], but the effect of degradation due to start and stop cycling is not listed. In a methodology where expert judgement is used to validate technical [10], the cost attributable to start and stop cycles is 50% of total replacement cost.…”

Section: Identification Of the Impacted Equipment And The Main Phenom...mentioning

confidence: 99%

Effect of start and stop cycles on hydropower plants: modelling the deterioration of the equipment to evaluate the cycling cost

Savin

Badina

Pollier

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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With the high energy demand, renewable energies emerged and the deregulation of the energy market appeared in the late ’90. These types of energies are intermittent and can produce high fluctuations in the power grid because they are connected only in certain weather conditions (for example: solar energy can be produced only by day and wind energy only when it is windy). Hydropower energy is recognized for its flexibility in responding to the demands of the network in order to maintain a constant level of energy and to guarantee the security of the electrical network. Nowadays, the hydropower plants are the main provider of energy adjustments thanks to a high number of start and stop cycles (which can sometimes be around 6 per day), the fast variations in load and the use of PSH (pumped-storage hydropower). But these rapid changes in the production conditions of hydroelectric power plants lead to high stresses on the components and consequently to faster degradation (mechanical, electrical, thermal, hydraulic, etc.). This work focuses on the design of a methodology that relies on auditable methods to estimate the cost of start and stop cycles and presents three complementary, representative (by equipment), reproductible (can be applied by different operators) methods based on explicit assumptions and validated by experts and in function of the available data in order to estimate the degradation of the main components of the hydropower plant (shut-off valve, runner, generator, transformer and circuit-breaker). These methods are based on the main degradation phenomena. The first method uses on-site measurements to study the fatigue on runners, the second method uses a reliability law to estimate the lifetime of generators and a predictive model using online temperature measurements and the last method uses expert judgement due to the lack of measurements on the equipment.

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Section: Identification Of the Impacted Equipment And The Main Phenom...mentioning

confidence: 99%

Effect of start and stop cycles on hydropower plants: modelling the deterioration of the equipment to evaluate the cycling cost

Savin

Badina

Pollier

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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“…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 ]. W. De et al used gray system theory and LabVIEW programming to develop a prediction model for circuit breaker lifespan [ 8 ].…”

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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“…Aiming at the solution of random fuzzy variable, Liu put forward the random fuzzy simulative technique [13] , which can solve random fuzzy variable. In order to solve random fuzzy variable T of the life prediction model for TCC, the paper establishes algorithm flow based on random fuzzy simulative technique, the steps of algorithm flow are as follows:…”

Section: Solution Of Life Prediction Modelmentioning

confidence: 99%

Research on Life Prediction of Train Control Center Based on Random and Fuzzy Theory

Wu¹,

Wu²

2016

IJSIA

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Evaluation of residual service life of high voltage circuit breaker

Cited by 4 publications

References 1 publication

Effect of start and stop cycles on hydropower plants: modelling the deterioration of the equipment to evaluate the cycling cost

Effect of start and stop cycles on hydropower plants: modelling the deterioration of the equipment to evaluate the cycling cost

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

Research on Life Prediction of Train Control Center Based on Random and Fuzzy Theory

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