Intelligent adjustment for power system operation mode based on deep reinforcement learning
Power flow adjustment is a sequential decision problem. The operator makes decisions to ensure that the power flow meets the system's operational constraints, thereby obtaining a typical operating mode power flow. However, this decision-making method relies heavily on human experience, which is...
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Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Tsinghua University Press
2024-12-01
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Series: | iEnergy |
Subjects: | |
Online Access: | https://www.sciopen.com/article/10.23919/IEN.2024.0028 |
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