Two-stage multi-timescale optimal scheduling for electricity-hydrogen coupling systems based on scenario approach and deep reinforcement learning
In electricity-hydrogen coupling systems， fluctuations in wind and solar power output， as well as the different timescales for electricity and hydrogen energy dispatch， pose significant challenges for economic and efficient system scheduling. To address these challenges， this paper， using scenario a...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
zhejiang electric power
2025-01-01
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| Series: | Zhejiang dianli |
| Subjects: | |
| Online Access: | https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=f69837de-9ae8-4c4f-8bb3-61e3ffea2a34 |
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