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Voltage transformer metering error state prediction method based on GA-BP algorithm

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Pigache, S. F. (2018). Effect of external load resistance on rosen transformer surface electrical potential. Ferroelectrics, 537. Search in Google Scholar

He, S., Huang, D., Feng, X., Deng, J., & Zhu, J. (2020). Transient potential distribution on transformer winding considering the effect of core lamination stack. AIP Advances, 10(1), 015024. Search in Google Scholar

Manojkumar, R., Kumar, C., Ganguly, S., Gooi, H. B., & Mekhilef, S. (2020). Voltage control using smart transformer via dynamic optimal setpoints and limit tolerance in a residential distribution network with pv sources. IET Generation Transmission & Distribution. Search in Google Scholar

Cao, Z., Magar, R., Wang, Y., & Farimani, A. B. (2023). Moformer: self-supervised transformer model for metal-organic framework property prediction. Journal of the American Chemical Society, 145(5), 2958-2967. Search in Google Scholar

Haghgoo, O., & Damchi, Y. (2022). Reliability modelling of capacitor voltage transformer using proposed markov model. Electric Power Systems Research, 202, 107573-. Search in Google Scholar

Ding, X., Yang, K., Wang, W., Liu, B., Wang, X., & Zhang, J., et al. (2022). Ferro-resonance analysis of capacitor voltage transformer with fast saturation damper. Energies, 15. Search in Google Scholar

Zhao, J., Xu, S., Wu, B., & Sun, X. (2022). Research on the performance of a fiber optical current transformer for high voltage filtering capacitor unbalanced current measurement. Journal of optical technology. Search in Google Scholar

Ghodsi, M., Barakati, S. M., Guerrero, J. M., & Vasquez, J. C. (2022). Dynamic voltage restore based on switched-capacitor multilevel inverter with ability to compensate for voltage drop, harmonics, and unbalancing simultaneously. Electric Power Systems Research, 207, 107826-. Search in Google Scholar

Ramamurthy, J. R., Chiesa, N., Hoidalen, H. K., Mork, B. A., Stenvig, N. M., & Manty, A. C. (2017). Influence of voltage harmonics on transformer no-load loss measurements and calculation of magnetization curves. Electric Power Systems Research, 146(May), 43-50. Search in Google Scholar

Tang, Dengping, Hongbin, Chen, Zhang, & Zhu, et al. (2017). Monitoring the metering performance of an electronic voltage transformer on-line based on cyber-physics correlation analysis. Measurement Science & Technology, 28(10), 105015-1-105015-8. Search in Google Scholar

Chen, K. L., Yang, X., & Xu, W. (2017). Contactless voltage distortion measurement using electric field sensors. IEEE Transactions on Smart Grid, 5643-5652. Search in Google Scholar

Zhang, Y., Zhang, C., Li, H., & Chen, Q. (2022). An online detection method for capacitor voltage transformer with excessive measurement error based on multi-source heterogeneous data fusion. Measurement(187-), 187. Search in Google Scholar

Chen, B., Du, L., Liu, K., Chen, X., & Yang, F. (2017). Measurement error estimation for capacitive voltage transformer by insulation parameters. Energies, 10(3), 357. Search in Google Scholar

Xiong, G., Przystupa, K., Teng, Y., Xue, W., Huan, W., & Feng, Z., et al. (2021). Online measurement error detection for the electronictransformer in a smart grid. Energies, 14(12), 3551. Search in Google Scholar

Zhenhua, L., Qiuhui, L., Zhengtian, W., & Zhenxing, L. (2018). Research into an online calibration system for the errors of voltage transformers based on open–closed capacitor. Energies, 11(6), 1455-. Search in Google Scholar

Meng, M. C. Q. (2019). Research on the reliability of capacitor voltage transformers calibration results. Measurement, 146. Search in Google Scholar

Zhang, M. J. Y. (2019). Detecting measurement error drifts of a capacitor voltage transformer on line and its field application. Measurement Science & Technology, 30(10). Search in Google Scholar

Khandeparkar, K. V., Soman, S. A., & Gajjar, G. (2017). Detection and correction of systematic errors in instrument transformers along with line parameter estimation using pmu data. IEEE Transactions on Power Systems, 1-1. Search in Google Scholar

Wei, M., Hu, X., & Yuan, H. (2022). Residual displacement estimation of the bilinear sdof systems under the near-fault ground motions using the bp neural network:. Advances in Structural Engineering, 25(3), 552-571. Search in Google Scholar

Wang, Q., Xi, H., Deng, F., Cheng, M., & Buja, G. (2022). Design and analysis of genetic algorithm and bp neural network based pid control for boost converter applied in renewable power generations. IET renewable power generation(7), 16. Search in Google Scholar

Chen, F., Kang, W., Shu, Z., Li, Q., Li, Y., & Chen, Y. F., et al. (2022). Predicting roof-surface wind pressure induced by conical vortex using a bp neural network combined with pod. Building Simulation, 15(8), 1475-1490. Search in Google Scholar

Gholampour, M., Mansoursamaei, M., Malakzadeh, A., & Nikosefat, M. (2022). Fiber bragg grating security fence with temperature compensation based on a tilted cantilever beam. Journal of optical technology(2), 89. Search in Google Scholar

Liang, H., Tao, Y., Wang, M., Guo, Y., & Zhao, X. (2021). System-level temperature compensation method for the rlg-imu based on hho-rvr. Journal of Sensors. Search in Google Scholar

Weidong, L. I., Suhayb, M. K., Thangavelu, L., Marhoon, H. A., Pustokhina, I., & Alqsair, U. F., et al. (2022). Implementation of adaboost and genetic algorithm machine learning models in prediction of adsorption capacity of nanocomposite materials. Journal of Molecular Liquids, 350, 118527-. Search in Google Scholar

Let, S., Bar, N., Basu, R. K., & Das, S. K. (2022). Minimum fluidization velocities of binary solid mixtures: empirical correlation and genetic algorithm-artificial neural network modeling. Chemical Engineering & Technology, 45(1). Search in Google Scholar

eISSN:
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Volume Open
Sujets de la revue:
Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics