Deep Reinforcement Learning for Voltage Control in Power Systems
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-45389-2_15
Reference32 articles.
1. Baran, M.: Ming-Yung Hsu: Volt/VAr control at distribution substations. IEEE Trans. Power Syst. 14(1), 312–318 (1999). https://doi.org/10.1109/59.744549. https://ieeexplore.ieee.org/document/744549/
2. Borozan, V., Baran, M., Novosel, D.: Integrated volt/VAr control in distribution systems. In: 2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No. 01CH37194), Columbus, OH, USA, vol. 3, pp. 1485–1490. IEEE (2001). https://doi.org/10.1109/PESW.2001.917328. http://ieeexplore.ieee.org/document/917328/
3. Corsi, S.: Voltage Control and Protection in Electrical Power Systems: From System Components to Wide-Area Control. Springer, London (2015). https://doi.org/10.1007/978-1-4471-6636-8
4. Custódio, G., Ochoa, L., Trindade, F., Alpcan, T.: Using Q-learning for OLTC voltage regulation in PV-rich distribution networks (2020)
5. Diao, R., Wang, Z., Shi, D., Chang, Q., Duan, J., Zhang, X.: Autonomous voltage control for grid operation using deep reinforcement learning (2019). http://arxiv.org/abs/1904.10597
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