A double-deck deep reinforcement learning-based energy dispatch strategy for an integrated electricity and district heating system embedded with thermal inertial and operational flexibility
With the high penetration of wind power connected to the integrated electricity and district heating systems (IEDHSs), wind power curtailment still inevitably occurs in the traditional IEDHS dispatch. Focusing on the flexibilities of the IEDHS is considered to be a beneficial solution to further pro...
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Main Authors: | Zhang, Bin, Ghias, Amer M. Y. M., Chen, Zhe |
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其他作者: | School of Electrical and Electronic Engineering |
格式: | Article |
語言: | English |
出版: |
2023
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在線閱讀: | https://hdl.handle.net/10356/164664 |
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