Open Access
E3S Web Conf.
Volume 182, 2020
2020 10th International Conference on Power, Energy and Electrical Engineering (CPEEE 2020)
Article Number 02004
Number of page(s) 8
Section Modern Power System Control and Operation
Published online 31 July 2020
  1. C. Darab, R. Tarnovan, A. Turcu and C. Martineac. Artificial Intelligence Techniques for Fault Location and Detection in Distributed Generation Power Systems. In: 2019 8th International Conference on Modern Power Systems (MPS), 2019: 1-4. [Google Scholar]
  2. L. Wu, J. Gao, G.K. Venayagamoorthy and R.G. Harley. On Artificial Intelligence Approaches for Contingency Analysis in Power System Security Assessment. In:2018 IEEE Power & Energy Society General Meeting (PESGM), 2018:11-5. [Google Scholar]
  3. C. Tong, Y. Cai, Z. Zhang, Q. Wang, Y. Gao, J. Li, et al. Artificial intelligence-based lightning protection of smart grid distribution system. In:2017 International Symposium on Lightning Protection (XIV SIPDA), 2017: 279-286. [CrossRef] [Google Scholar]
  4. H. Xu, J. Lu and Z. Yang. CiteSpace Based Knowledge Mapping Research of Artificial Intelligence Technology in Power System. In:2018 International Conference on Power System Technology (POWERCON), 2018:43831-4389. [Google Scholar]
  5. A. Purwar, D. Joshi and M.S. Dasgupta. Smart control of electric lamp using artificial intelligence based controller. In:2015 Annual IEEE India Conference (INDICON), 2015: 1-5. [Google Scholar]
  6. E.O. Kontis, T.A. Papadopoulos, M.H. Syed, E. Guillo-Sansano, G.M. Burt and G.K. Papagiannis. Artificial-Intelligence Method for the Derivation of Generic Aggregated Dynamic Equivalent Models. IEEE Transactions on Power Systems, 2019; 34(4):2947-2956. [Google Scholar]
  7. S. Chen. Dispatching operation sheet system of power network based on multi-agent system. In: Proceedings of 2011 International Conference on Electronic & Mechanical Engineering and Information Technology, 2011:37541-3757. [Google Scholar]
  8. J. Liu, Y. Wang, M. Lu, P. Xu, F. Lil and J. Geng. A Practical Approach to Generating Trend Data of Power Grid Operation for Pre-dispatching System. In: 2018 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2), 2018: 1-4. [Google Scholar]
  9. SHAN Xin, LU Xiao, ZHAI Mingyu, et al. Analysis of Key Technologies for Artificial Intelligence Applied to Power Grid Dispatch and Control. Automation of Electric Power Systems, 2019; 43(1):49-57. [Google Scholar]
  10. ZHANG Xiaohua, FENG Changyou, WANG Yongming, et al. Design Ideas of Robotic Dispatcher for Power Grid. Automation of Electric Power Systems, 2019; 43(13):1-8. [Google Scholar]
  11. J.J. Zhang, F. Wang, Q. Wang, D. Hao, X. Yang, D.W. Gao, et al. Parallel dispatch: a new paradigm of electrical power system dispatch, IEEE/CAA Journal of Automatica Sinica, 2018; 5(1):311-319. [Google Scholar]

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