Effect of salty fog on flashover characteristics of OCS composite insulators

Wang, Sihua; Wu, Youlong

doi:10.23919/cjee.2019.000021

Cited by 12 publications

(7 citation statements)

References 1 publication

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“…The relevant data are used for setting the index threshold later. According to the specification [23][24][25][26][27] , together with the threshold determination method and onsite assessment experience [28][29][30] , the threshold values of the traction system's health status assessment [31][32][33] indexes are determined, as shown in Tab. 3.…”

Section: Index Parameters Of Traction Systemmentioning

confidence: 99%

Health Status Assessment for New Urban Rail Vehicle Traction Systems Based on Cross Entropy and SVM

Zhou

Yang

et al. 2022

Chin. J. Electr. Eng.

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A health status assessment method based on cross entropy and support vector machine (SVM) is proposed for the new urban rail vehicle traction systems. First, an index system for health assessment of the traction system is established, and combined weights of the index layer are obtained via cross entropy. Then, an SVM assessment model considering actual operating data and each status level of the traction system is established. Finally, the model is simulated in Matlab to obtain assessment results. The results indicate that the proposed method can provide the health status information of the traction system intuitively and complete the health status assessment of the traction system of the new urban rail vehicle effectively, by exploiting the traction system's layered analysis model. The health status can be assessed accurately and reliably by adopting the cross entropy theory and SVM theory.

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Section: Index Parameters Of Traction Systemmentioning

confidence: 99%

Health Status Assessment for New Urban Rail Vehicle Traction Systems Based on Cross Entropy and SVM

Zhou

Yang

et al. 2022

Chin. J. Electr. Eng.

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“…Contamination (pollution, salinity, biological agents) can make the surface of the insulator more conductive, increasing the possibility of partial discharges (PDs), dry band arcing, and consequently decreasing the efficiency of the system [4]. Contamination is a problem in places close to industries, agriculture, mining, coastal regions, or unpaved streets that may accumulate on the surface of the insulators [5]. Therefore, in some critical locations, cleaning or washing the insulators is required to mitigate insulation failure in the power system [6].…”

Section: Introductionmentioning

confidence: 99%

Fault Prediction Based on Leakage Current in Contaminated Insulators Using Enhanced Time Series Forecasting Models

Neto

Stefenon

Meyer

et al. 2022

Sensors

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To improve the monitoring of the electrical power grid, it is necessary to evaluate the influence of contamination in relation to leakage current and its progression to a disruptive discharge. In this paper, insulators were tested in a saline chamber to simulate the increase of salt contamination on their surface. From the time series forecasting of the leakage current, it is possible to evaluate the development of the fault before a flashover occurs. In this paper, for a complete evaluation, the long short-term memory (LSTM), group method of data handling (GMDH), adaptive neuro-fuzzy inference system (ANFIS), bootstrap aggregation (bagging), sequential learning (boosting), random subspace, and stacked generalization (stacking) ensemble learning models are analyzed. From the results of the best structure of the models, the hyperparameters are evaluated and the wavelet transform is used to obtain an enhanced model. The contribution of this paper is related to the improvement of well-established models using the wavelet transform, thus obtaining hybrid models that can be used for several applications. The results showed that using the wavelet transform leads to an improvement in all the used models, especially the wavelet ANFIS model, which had a mean RMSE of 1.58 ×10−3, being the model that had the best result. Furthermore, the results for the standard deviation were 2.18 ×10−19, showing that the model is stable and robust for the application under study. Future work can be performed using other components of the distribution power grid susceptible to contamination because they are installed outdoors.

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“…It can accurately reflect the operating status of the insulator under multiple factors, and the cost is low. Wang et al [13] obtained the potential and electric field changes for insulator processed from corona discharge to flashover through simulation analysis of insulators in the operating state, which reflects the influence of various factors on the operating state of insulators. Lv et al [14] found that water droplets have a greater impact on the distortion rate of the electric field through simulation studies on the position, spacing, and parameters of the water droplets attached to the surface of the insulator.…”

Section: Introductionmentioning

confidence: 99%

Electric Field Distribution of Soluble Salt Deposition on the Surface of Insulators in Railway Overhead Lines

Wang

Chen

et al. 2022

Chin. J. Electr. Eng.

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Different constituents of soluble salts have different effects on the insulation performance of insulators. To study the electric field distribution of soluble salt deposition on the surface of high-speed railway insulators, a two-dimensional model of the cantilever insulator electrostatic field and constant-current field with soluble salt deposition is constructed. The simulation results indicate that the relative dielectric constant of dry pollution is the main factor that affects the electric field distribution on the surface of the insulator. The electric field intensity is arranged in the following order: CaSO 4 >KNO 3 >NaNO 3 >K 2 SO 4 >NaCl>MgSO 4 , and the conductivity of each dirty liquid in the wet state becomes a key factor affecting the electric field distribution, which is specifically shown as sodium chloride>nitrate>sulfate. The simulation results are compared with existing test results to verify that they were correct. It is also found that the electric field intensity of the insulator with good hydrophobicity is slightly greater than that of the insulator without hydrophobicity. The results provide a theoretical basis for the classification of regional pollution levels and the testing of insulator contamination in the laboratory.

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Effect of salty fog on flashover characteristics of OCS composite insulators

Cited by 12 publications

References 1 publication

Health Status Assessment for New Urban Rail Vehicle Traction Systems Based on Cross Entropy and SVM

Health Status Assessment for New Urban Rail Vehicle Traction Systems Based on Cross Entropy and SVM

Fault Prediction Based on Leakage Current in Contaminated Insulators Using Enhanced Time Series Forecasting Models

Electric Field Distribution of Soluble Salt Deposition on the Surface of Insulators in Railway Overhead Lines

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