Utkarsh Pandey, Anshumaan Pathak, Adesh Kumar, Surajit Mondal, Applications of artificial intelligence in power system operation, control and planning: a review, Clean Energy, Volume 7, Issue 6, December 2023, Pages 1199–1218, https://doi.org/10.1093/ce/zkad061 Contact online >>
Utkarsh Pandey, Anshumaan Pathak, Adesh Kumar, Surajit Mondal, Applications of artificial intelligence in power system operation, control and planning: a review, Clean Energy, Volume 7, Issue 6, December 2023, Pages 1199–1218, https://doi /10.1093/ce/zkad061
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Alhamrouni, I.; Abdul Kahar, N.H.; Salem, M.; Swadi, M.; Zahroui, Y.; Kadhim, D.J.; Mohamed, F.A.; Alhuyi Nazari, M. A Comprehensive Review on the Role of Artificial Intelligence in Power System Stability, Control, and Protection: Insights and Future Directions. Appl. Sci. 2024, 14, 6214. https://doi /10.3390/app14146214
Alhamrouni I, Abdul Kahar NH, Salem M, Swadi M, Zahroui Y, Kadhim DJ, Mohamed FA, Alhuyi Nazari M. A Comprehensive Review on the Role of Artificial Intelligence in Power System Stability, Control, and Protection: Insights and Future Directions. Applied Sciences. 2024; 14(14):6214. https://doi /10.3390/app14146214
Alhamrouni, Ibrahim, Nor Hidayah Abdul Kahar, Mohaned Salem, Mahmood Swadi, Younes Zahroui, Dheyaa Jasim Kadhim, Faisal A. Mohamed, and Mohammad Alhuyi Nazari. 2024. "A Comprehensive Review on the Role of Artificial Intelligence in Power System Stability, Control, and Protection: Insights and Future Directions" Applied Sciences 14, no. 14: 6214. https://doi /10.3390/app14146214
Alhamrouni, I., Abdul Kahar, N. H., Salem, M., Swadi, M., Zahroui, Y., Kadhim, D. J., Mohamed, F. A., & Alhuyi Nazari, M. (2024). A Comprehensive Review on the Role of Artificial Intelligence in Power System Stability, Control, and Protection: Insights and Future Directions. Applied Sciences, 14(14), 6214. https://doi /10.3390/app14146214
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The large variabilities in renewable energy (RE) generation can make it challenging for renewable power systems to provide stable power supplies; however, artificial intelligence (AI)-based methods can help overcome these challenges.
Reinforcement learning techniques can effectively handle the increased computational complexity associated with optimizing power dispatch for renewable power systems to ensure that costs are minimized and operational constraints are met.
Renewable power systems are subject to greater instabilities than traditional systems, which can lead to voltage and frequency fluctuations in the power supply. AI-based techniques can provide real-time control signals to facilitate generation-to-demand control.
Reinforcement learning techniques can also be used to analyse market behaviours and optimize decision-making to support the effective integration of RE into power markets.
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