References
- [1] S. You, et al: A Review on Artificial Intelligence for Grid Stability Assessment; IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), 202010.1109/SmartGridComm47815.2020.9302990
- [2] R. Liu, G. Verbic, Y. Xu: A New Reliability-Driven Intelligent System for Power System Dynamic Security Assessment; IEEE Australasian Universities Power Engineering Conference, 201710.1109/AUPEC.2017.8282442
- [3] M. Khodayar, G. Liu, J. Wang, M. E. Khodayar: Deep Learning in Power Systems Research: A Review; CSEE Journal of Power and Energy Systems, 2021
- [4] B. Tan, et al: Power System Inertia Estimation: Review of Methods and the Impacts of Converter-Interfaced Generations; International Journal of Electrical Power & Energy Systems, 202110.1016/j.ijepes.2021.107362
- [5] E. Heylen, F. Teng, G. Strbac: Power System Inertia Estimation: Review of Methods and the Impacts of Converter-Interfaced Generations; Renewable and Sustainable Energy Reviews, 2021
- [6] A. Mujčinagić, M. Kušljugić, E. Nukić: Wind Inertial Response Based on the Center of Inertia; Energies, 202010.3390/en13236177
- [7] F. Milano: Rotor Speed-Free Estimation of the Frequency of the Center of Inertia; IEEE Transactions on Power Systems, 201810.1109/TPWRS.2017.2750423
- [8] Z. Wu, et al: State-of-the-art review on frequency response of wind power plants in power systems; Journal of Modern Power Systems and Clean Energy, 201710.1007/s40565-017-0315-y
- [9] F. M. Gonzalez-Longatt: Activation schemes of synthetic inertia controller on full converter wind turbine; IEEE General Meeting Power & Energy Society, 201510.1109/PTC.2015.7232292
- [10] Z. A. Obaid, L. M. Cipcigan, L. Abrahim: Frequency control of future power systems: reviewing and evaluating challenges and new control methods; Journal of Modern Power Systems and Clean Energy, 201910.1007/s40565-018-0441-1
- [11] F. M. Gonzalez-Longatt: Impact of emulated inertia from wind power on under-frequency; Springer, 2016
- [12] A. Ulbig, T. S. Borsche, G. Andersson: Impact of Low Rotational Inertia on Power System Stability and Operation; 19th World Congress The International Federation of Automatic Control, 201410.3182/20140824-6-ZA-1003.02615
- [13] P. Kundur: Power system stability and control; McGraw-Hill Inc, 1994
- [14] A. Charu: Neural Networks and Deep Learning; Springer, 2018
- [15] F. Allela, E. Chiodo, G. M. Gianuzzi, D. Lauria, F. Mottola: On-Line Estimation Assessment of Power Systems Inertia With High Penetration of Renewable Generation; IEEE Power and Energy, 202010.1109/ACCESS.2020.2983877
- [16] Y. Zhang, X. Wang, L. Ding: LSTM-Based Dynamic Frequency Prediction; IEEE Power & Energy Society General Meeting (PESGM), 202010.1109/PESGM41954.2020.9281602
- [17] N. G. Baltas, P. R. Cortez, M. L. R. Casano: Dynamic Stability with Artificial Intelligence in Smart Grids; Universidad Loyola Andalucia, 2021
- [18] S. Hochreiter, J. Schmidhuber: Long Short Term Memory; Neural Computation, 199710.1162/neco.1997.9.8.17359377276
- [19] Mathworks: Matlab Deep Learning Toolbox Documentation.
- [20] Bosnia and Herzegovina State Electricity Regulatory Commission: https://www.derk.ba/en/ees-bih/eesmap; date of access: 19.09.2021