A Date-Driven Voltage Control Strategy for Distribution Network Using Deep Reinforcement Learning

A data-driven voltage control strategy is proposed for real-time optimized distributed voltage control of distribution networks connected to the energy storage system (ESS) and distributed photovoltaics (PVs) with high penetration. Deep reinforcement learning (DRL) methods are used in the control of...

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Veröffentlicht in:	2023 IEEE 6th International Electrical and Energy Conference (CIEEC) S. 77 - 82
Hauptverfasser:	Shen, Jiawei, Han, Jing, Wang, Yihan, Dong, Yanhao, Li, Hao
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 12.05.2023
Schlagworte:	data-driven method Deep learning distributed voltage control distribution network Distribution networks MATD3 Mathematical models Photovoltaic systems Real-time systems Reinforcement learning Training
Online-Zugang:	Volltext
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