Parallel deep reinforcement learning‐based power flow state adjustment considering static stability constraint
To solve the problem of manpower and time consumption caused by power flow state adjustment in a large‐scale power grid, a power system operation state adjustment method considering the static stability constraint based on parallel deep reinforcement learning is proposed. By introducing the process...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-12-01
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| Series: | IET Generation, Transmission & Distribution |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/iet-gtd.2020.1377 |