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Voltage Hierarchical Control Strategy of Active Distribution Network Based on Deep Reinforcement Learning
Power Generation Technology Vol. 45, Issue 4, Pages: 734-743(2024)
Smart Grid|Updated：2025-06-15
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Voltage Hierarchical Control Strategy of Active Distribution Network Based on Deep Reinforcement Learning
- “In the field of active distribution networks, experts have proposed a dual layer voltage control strategy based on deep reinforcement learning, effectively solving the voltage control problem and providing a solution for the safe operation of ADNs.”
DOI：10.12096/j.2096-4528.pgt.23029
Revised：2023-10-18
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Related Author
YU Da
WU Zhitao
CHEN Ziwen
LIN Xu
WANG Weihua
LIU Chongru
CHEN Lidan
WANG Lei
Related Institution
Electric Power Dispatching and Control Center, Guangdong Power Grid Co., Ltd.
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University), Changping District
China Three Gorges Corporation
Faculty of Marine Engineering, Guangzhou Maritime University
Guangdong Province Port Ship Smart Energy-saving and Seamless Power Supply Engineering Technology Research Center
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