Long-Term Optimal Scheduling of Cascade Hydro–Wind–PV Complementary System Based on Deep Deterministic Policy Gradient

Runoff, wind power output, and photovoltaic (PV) power output in cascade hydro–wind–PV complementary systems are inherently uncertain, making long-term scheduling a high-dimensional continuous-control decision-making problem. To address this issue, this study proposes a long-term optimal scheduling...

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Principais autores:	Wenwu Li, Mu He, Zixing Wan, Fengming Dai, Taotao Zhang, Yuhao Jiang
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2026-05-01
סדרה:	Applied Sciences
נושאים:	cascade hydro–wind–PV complementary system renewable energy accommodation DDPG deep reinforcement learning optimal scheduling
גישה מקוונת:	https://www.mdpi.com/2076-3417/16/10/4630
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!