A two-stage robust optimal scheduling model for microgrids accounting for the uncertainties in wind turbine output
To effectively address the impact of uncertainties in wind turbine output on the safe and economical operation of microgrids, this paper proposes a two-stage distributed robust optimal scheduling model for microgrids that accounts for these uncertainties. First, an improved deep neural network (DNN)...
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| Main Authors: | YAO Junwei, HE Qi, ZHANG Yu, XIE Qiongyao, WANG Hailiang, DENG Ling, HU Changyu |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
zhejiang electric power
2024-11-01
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| Series: | Zhejiang dianli |
| Subjects: | |
| Online Access: | https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=7c321f59-87f2-4b9a-99ac-9e31b33dcb4c |
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