Research on Intelligent Generation Technology of Power Grid Operation Simulation Scheme

Yi Han*, Xiaolin Qi, Chengjian Qiu, Fengbin Zhang, Nan Yang

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

As a tool to train dispatchers' fault handling ability, the dispatcher training simulator system requires the instructors to make power grid operation simulation scheme in the system. At present, the power grid structure is becoming increasingly complex, and the corresponding dispatch and operation simulation scheme making work is becoming more and more complex. This paper studies the automatic generation technology of power grid operation simulation scheme in dispatching training simulation system, and proposes the automatic generation of specific power grid operation mode and the automatic adjustment of power flow convergence in dispatcher training simulator. The power grid operation mode is generated by operation feature extraction, key sections recognition and matching, and automatic distribution of generating and load. The power flow convergence is automatically adjusted based on data-driven deep reinforcement learning, which improves the efficiency of power grid operation simulation scheme making and reduces the workload of instructors.

源语言英语
主期刊名IEEE ITAIC 2023 - IEEE 11th Joint International Information Technology and Artificial Intelligence Conference
编辑Bing Xu, Kefen Mou
出版商Institute of Electrical and Electronics Engineers Inc.
1519-1523
页数5
ISBN(电子版)9798350333664
DOI
出版状态已出版 - 2023
已对外发布
活动11th Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2023 - Chongqing, 中国
期限: 8 12月 202310 12月 2023

出版系列

姓名IEEE Joint International Information Technology and Artificial Intelligence Conference (ITAIC)
ISSN(印刷版)2693-2865

会议

会议11th Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2023
国家/地区中国
Chongqing
时期8/12/2310/12/23

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