Real Time Optimal Dispatch of Virtual Power Plant Based on Improved Deep Q Network
The deep reinforcement learning algorithm is data-driven and does not rely on specific models, which can effectively address the complexity issues in virtual power plant (VPP) operation. However, existing algorithms are difficult to strictly enforce operational constraints, which limits their applic...
| Auteurs principaux: | , , , |
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| Format: | Article |
| Langue: | zho |
| Publié: |
State Grid Energy Research Institute
2024-01-01
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| Collection: | Zhongguo dianli |
| Sujets: | |
| Accès en ligne: | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202307006 |