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Energy Efficiency Evaluation of HVDC Converter Station Based on Deep Neural Network Model


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Shaik, J. B., & Ganesh, V. (2020). Deep neural network and social ski-driver optimization algorithm for power system restoration with VSC-HVDC technology. Journal of Computational Mechanics, Power System and Control, 3(1), 1-9. Search in Google Scholar

Roy, N. B. (2021). Fault Identification and Determination of Its Location in a HVDC System Based on Feature Extraction and Artificial Neural Network. Journal of The Institution of Engineers (India): Series B, 102(2), 351-361. Search in Google Scholar

Zou, W., Dong, H., Liu, K., & Su, M. (2021). Neural Network Internal Model Control of VSC-MTDC. Automatic Control and Computer Sciences, 55(5), 419-430. Search in Google Scholar

Hu, Z. J., Liu, Z. W., Li, C., Huang, T., & Hu, X. (2021). A model-free distributed cooperative frequency control strategy for MT-HVDC systems using reinforcement learning method. Journal of the Franklin Institute, 358(13), 6490-6507. Search in Google Scholar

Ye, X., Lan, S., Xiao, S. J., & Yuan, Y. (2021). Single Pole‐to‐Ground Fault Location Method for MMC‐ HVDC System Using Wavelet Decomposition and DBN. IEEJ Transactions on Electrical and Electronic Engineering, 16(2), 238-247. Search in Google Scholar

Shaik, J. B., & Ganesh, V. (2020). A power system restoration method using voltage source converter– high-voltage direct current technology, aided by time-series neural network with firefly algorithm. Soft Computing, 24(13), 9495-9506. Search in Google Scholar

Sun, K., Qiu, W., Yao, W., You, S., Yin, H., & Liu, Y. (2021). Frequency injection based HVDC attack-defense control via squeeze-excitation double CNN. IEEE Transactions on Power Systems, 36(6), 5305-5316. Search in Google Scholar

Gençoğlu, M. & Agarwal, P. (2021). Use of Quantum Differential Equations in Sonic Processes. Applied Mathematics and Nonlinear Sciences, 6(1), 21-28. Search in Google Scholar

Zhao, Y. (2020). Analysis of Trade Effect in Post-Tpp Era: Based on Gravity Model and Gtap Model. Applied Mathematics and Nonlinear Sciences, 5(1), 61-70. Search in Google Scholar

Muzzammel, R., & Raza, A. (2021). Low impedance fault identification and classification based on Boltzmann machine learning for HVDC transmission systems. Journal of Modern Power Systems and Clean Energy, 10(2), 440-449. Search in Google Scholar

Luo, G., Hei, J., Yao, C., He, J., & Li, M. (2020). An end-to-end transient recognition method for VSCHVDC based on deep belief network. Journal of Modern Power Systems and Clean Energy, 8(6), 1070-1079. Search in Google Scholar

Liu, Q., Liang, T., & Dinavahi, V. (2020). Real-time hierarchical neural network based fault detection and isolation for high-speed railway system under hybrid AC/DC grid. IEEE Transactions on Power Delivery, 35(6), 2853-2864. Search in Google Scholar

Poblete, P., Pizarro, G., Droguett, G., Núñez, F., Judge, P. D., & Pereda, J. (2022). Distributed Neural Network Observer for Submodule Capacitor Voltage Estimation in Modular Multilevel Converters. IEEE Transactions on Power Electronics, 37(9), 10306-10318. Search in Google Scholar

Yang, Q., Li, J., Santos, R., Huang, K., & Igic, P. (2021). Intelligent fault detection and location scheme for modular multi‐level converter multi‐terminal high‐voltage direct current. High Voltage, 6(1), 125-137. Search in Google Scholar

eISSN:
2444-8656
Sprache:
Englisch
Zeitrahmen der Veröffentlichung:
Volume Open
Fachgebiete der Zeitschrift:
Biologie, andere, Mathematik, Angewandte Mathematik, Allgemeines, Physik