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Demonstration Application of Adaptive Intelligent Monitoring and Analyzing System for Distribution Networks Based on Distribution OCS System and Multiple Data Fusion

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03 sept. 2024
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Anderson, P. M., Henville, C. F., Rifaat, R., Johnson, B., & Meliopoulos, S. (2022). Power system protection. John Wiley & Sons. Search in Google Scholar

Glover, J. D., Overbye, T. J., & Sarma, M. S. (2017). Power system analysis & design. Cengage Learning. Search in Google Scholar

Horowitz, S. H., Phadke, A. G., & Henville, C. F. (2022). Power system relaying. John Wiley & Sons. Search in Google Scholar

Medjoudj, R., Bediaf, H., & Aissani, D. (2017). Power system reliability: Mathematical models and applications. System Reliability, 279. Search in Google Scholar

Mohamad, F., & Teh, J. (2018). Impacts of energy storage system on power system reliability: A systematic review. Energies, 11(7), 1749. Search in Google Scholar

Kamruzzaman, M., Bhusal, N., & Benidris, M. (2022). A convolutional neural network-based approach to composite power system reliability evaluation. International Journal of Electrical Power & Energy Systems, 135, 107468. Search in Google Scholar

Kirschen, D. S., & Strbac, G. (2018). Fundamentals of power system economics. John Wiley & Sons. Search in Google Scholar

Haas, J., Cebulla, F., Cao, K., Nowak, W., Palma-Behnke, R., Rahmann, C., & Mancarella, P. (2017). Challenges and trends of energy storage expansion planning for flexibility provision in low-carbon power systems–a review. Renewable and Sustainable Energy Reviews, 80, 603-619. Search in Google Scholar

Northcote-Green, J., & Wilson, R. G. (2017). Control and automation of electrical power distribution systems. CRC press. Search in Google Scholar

Rai, P., Londhe, N. D., & Raj, R. (2021). Fault classification in power system distribution network integrated with distributed generators using CNN. Electric Power Systems Research, 192, 106914. Search in Google Scholar

Yan, Y., Liu, Y., Fang, J., Lu, Y., & Jiang, X. (2021). Application status and development trends for intelligent perception of distribution network. High Voltage, 6(6), 938-954. Search in Google Scholar

Mahmoud, M. S., Alyazidi, N. M., & Abouheaf, M. I. (2017). Adaptive intelligent techniques for microgrid control systems: A survey. International journal of electrical power & energy systems, 90, 292-305. Search in Google Scholar

Omitaomu, O. A., & Niu, H. (2021). Artificial intelligence techniques in smart grid: A survey. Smart Cities, 4(2), 548-568. Search in Google Scholar

Ibrahim, M. S., Dong, W., & Yang, Q. (2020). Machine learning driven smart electric power systems: Current trends and new perspectives. Applied Energy, 272, 115237. Search in Google Scholar

Mishra, R. K., & Swarup, K. S. (2018). Adaptive weight-based self reconfiguration of smart distribution network with intelligent agents. IEEE Transactions on Emerging Topics in Computational Intelligence, 2(6), 464-472. Search in Google Scholar

Khosravi, M., Trik, M., & Ansari, A. (2024). Diagnosis and classification of disturbances in the power distribution network by phasor measurement unit based on fuzzy intelligent system. The Journal of Engineering, 2024(1), e12322. Search in Google Scholar

Zhang, H., Liu, J., & Xu, S. (2019). H-infinity load frequency control of networked power systems via an event-triggered scheme. IEEE Transactions on Industrial Electronics, 67(8), 7104-7113. Search in Google Scholar

Huang, Q., Huang, R., Hao, W., Tan, J., Fan, R., & Huang, Z. (2019). Adaptive power system emergency control using deep reinforcement learning. IEEE Transactions on Smart Grid, 11(2), 1171-1182. Search in Google Scholar

Kim, S. C., Ray, P., & Salkuti, S. R. (2020). Islanding detection in a distribution network with distributed generators using signal processing techniques. International Journal of Power Electronics and Drive Systems, 11(4), 2099-2106. Search in Google Scholar

Mu, C., Tang, Y., & He, H. (2017). Improved sliding mode design for load frequency control of power system integrated an adaptive learning strategy. IEEE Transactions on Industrial Electronics, 64(8), 6742-6751. Search in Google Scholar

Ali, S. S., & Choi, B. J. (2020). State-of-the-art artificial intelligence techniques for distributed smart grids: A review. Electronics, 9(6), 1030. Search in Google Scholar

Richter, L., Lehna, M., Marchand, S., Scholz, C., Dreher, A., Klaiber, S., & Lenk, S. (2022). Artificial intelligence for electricity supply chain automation. Renewable and Sustainable Energy Reviews, 163, 112459. Search in Google Scholar

Chen, K., Hu, J., Zhang, Y., Yu, Z., & He, J. (2019). Fault location in power distribution systems via deep graph convolutional networks. IEEE Journal on Selected Areas in Communications, 38(1), 119-131. Search in Google Scholar

Marín-Quintero, J., Orozco-Henao, C., Percybrooks, W. S., Vélez, J. C., Montoya, O. D., & Gil-González, W. (2021). Toward an adaptive protection scheme in active distribution networks: Intelligent approach fault detector. Applied Soft Computing, 98, 106839. Search in Google Scholar

Cheng Weijie,Cheng Renli,Liu Jinsheng,Ma Weizhe,Li Jie,Guan Weiling... & Yu Tao. (2021). Multidimensional Intelligent Distribution Network Load Analysis and Forecasting Management System Based on Multidata Fusion Technology. Mathematical Problems in Engineering. Search in Google Scholar

Du Shengxue & Chen Shujun. (2024). A multi-sensor data fusion algorithm based on consistency preprocessing and adaptive weighting. Automatika(1),82-91. Search in Google Scholar

Wanru He,Chunhong He,Zongjie Zhang & Bin Ren. (2024). Design of Online Intelligent Detection System for Power Quality and Fault Identification in Distribution Networks. Applied Mathematics and Nonlinear Sciences(1), Search in Google Scholar

Akhil Nigam,Kamal Kant Sharma,Muhammad Bilal Riaz,Moh Yaseen,Anum Shafiq & Tabassum Naz Sindhu. (2024). Reactive power compensation during the convergence of grid system with FACTS devices. Results in Engineering102449-102449. Search in Google Scholar