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SAC-based Multi-agent Framework for Continuous Volt-Var Control in Distribution Network with High Penetration of PVs
ID：264 View Protection：ATTENDEE Updated Time：2022-05-19 11:14:03 Hits：289 Poster Presentation

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Abstract
The penetration of high proportional PVs has greatly changed the structure and operation of the distribution network, which brings great challenges to the stable operation of the distribution network. In this paper, we propose a soft actor-critic based multi-agent reinforcement learning method for Volt-Var control of distribution networks. The proposed method adopts a framework of centralized training and decentralized execution, and the designed agent can learn coordinated control strategies from historical data. Compared with traditional algorithms this paper proposed multi-agent soft actor-critic algorithm has good performance, stable performance, and strong anti-interference capability. Comparative studies on IEEE 33-node test systems demonstrate the performance of the proposed solution.
 
Keywords
Speaker
TaoZhu
云南电网有限责任公司昆明供电局

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Important Date

  • Conference Date

    May 27

    2022

    to

    May 29

    2022

  • Feb 28 2022

    Draft paper submission deadline

  • May 29 2022

    Registration deadline

  • Jun 22 2022

    Contribution Submission Deadline

Sponsored By
IEEE Beijing Section
China Electrotechnical Society
Southeast University
Supported By
IEEE Industry Applications Society
IEEE Nanjing Section
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