Deep Reinforcement Learning-Based Voltage Control to Deal with Model Uncertainties in Distribution Networks
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- Jin-Xin Ou-Yang & Xiao-Xuan Long & Xue Du & Yan-Bo Diao & Meng-Yang Li, 2019. "Voltage Control Method for Active Distribution Networks Based on Regional Power Coordination," Energies, MDPI, vol. 12(22), pages 1-23, November.
- Chuanliang Xiao & Bo Zhao & Ming Ding & Zhihao Li & Xiaohui Ge, 2017. "Zonal Voltage Control Combined Day-Ahead Scheduling and Real-Time Control for Distribution Networks with High Proportion of PVs," Energies, MDPI, vol. 10(10), pages 1-23, September.
- Chuanliang Xiao & Lei Sun & Ming Ding, 2020. "Multiple Spatiotemporal Characteristics-Based Zonal Voltage Control for High Penetrated PVs in Active Distribution Networks," Energies, MDPI, vol. 13(1), pages 1-21, January.
- Hamada Almasalma & Sander Claeys & Konstantin Mikhaylov & Jussi Haapola & Ari Pouttu & Geert Deconinck, 2018. "Experimental Validation of Peer-to-Peer Distributed Voltage Control System," Energies, MDPI, vol. 11(5), pages 1-22, May.
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- Bashir Bakhshideh Zad & Jean-François Toubeau & François Vallée, 2021. "Chance-Constrained Based Voltage Control Framework to Deal with Model Uncertainties in MV Distribution Systems," Energies, MDPI, vol. 14(16), pages 1-16, August.
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Keywords
voltage control; deep deterministic policy gradient; deep reinforcement learning; model uncertainties;All these keywords.
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