Research on Intelligent Generation Technology of Power Grid Operation Simulation Scheme

Yi Han; Xiaolin Qi; Chengjian Qiu; Fengbin Zhang; Nan Yang

doi:10.1109/ITAIC58329.2023.10408893

Research on Intelligent Generation Technology of Power Grid Operation Simulation Scheme

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

^*Corresponding author for this work

State Grid Corporation of China

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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.

Original language	English
Title of host publication	IEEE ITAIC 2023 - IEEE 11th Joint International Information Technology and Artificial Intelligence Conference
Editors	Bing Xu, Kefen Mou
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1519-1523
Number of pages	5
ISBN (Electronic)	9798350333664
DOIs	https://doi.org/10.1109/ITAIC58329.2023.10408893
Publication status	Published - 2023
Externally published	Yes
Event	11th Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2023 - Chongqing, China Duration: 8 Dec 2023 → 10 Dec 2023

Publication series

Name	IEEE Joint International Information Technology and Artificial Intelligence Conference (ITAIC)
ISSN (Print)	2693-2865

Conference

Conference	11th Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2023
Country/Territory	China
City	Chongqing
Period	8/12/23 → 10/12/23

Keywords

dispatcher training simulator
power flow convergence
power grid operation mode matching
power grid operation simulation scheme generating
reinforcement learning

Access to Document

10.1109/ITAIC58329.2023.10408893

Cite this

Han, Y., Qi, X., Qiu, C., Zhang, F., & Yang, N. (2023). Research on Intelligent Generation Technology of Power Grid Operation Simulation Scheme. In B. Xu, & K. Mou (Eds.), IEEE ITAIC 2023 - IEEE 11th Joint International Information Technology and Artificial Intelligence Conference (pp. 1519-1523). (IEEE Joint International Information Technology and Artificial Intelligence Conference (ITAIC)). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITAIC58329.2023.10408893

Han, Yi ; Qi, Xiaolin ; Qiu, Chengjian et al. / Research on Intelligent Generation Technology of Power Grid Operation Simulation Scheme. IEEE ITAIC 2023 - IEEE 11th Joint International Information Technology and Artificial Intelligence Conference. editor / Bing Xu ; Kefen Mou. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 1519-1523 (IEEE Joint International Information Technology and Artificial Intelligence Conference (ITAIC)).

@inproceedings{31ea9f7a0f5d42f28b692def90b44f1e,

title = "Research on Intelligent Generation Technology of Power Grid Operation Simulation Scheme",

abstract = "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.",

keywords = "dispatcher training simulator, power flow convergence, power grid operation mode matching, power grid operation simulation scheme generating, reinforcement learning",

author = "Yi Han and Xiaolin Qi and Chengjian Qiu and Fengbin Zhang and Nan Yang",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 11th Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2023 ; Conference date: 08-12-2023 Through 10-12-2023",

year = "2023",

doi = "10.1109/ITAIC58329.2023.10408893",

language = "English",

series = "IEEE Joint International Information Technology and Artificial Intelligence Conference (ITAIC)",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1519--1523",

editor = "Bing Xu and Kefen Mou",

booktitle = "IEEE ITAIC 2023 - IEEE 11th Joint International Information Technology and Artificial Intelligence Conference",

address = "United States",

}

Han, Y, Qi, X, Qiu, C, Zhang, F & Yang, N 2023, Research on Intelligent Generation Technology of Power Grid Operation Simulation Scheme. in B Xu & K Mou (eds), IEEE ITAIC 2023 - IEEE 11th Joint International Information Technology and Artificial Intelligence Conference. IEEE Joint International Information Technology and Artificial Intelligence Conference (ITAIC), Institute of Electrical and Electronics Engineers Inc., pp. 1519-1523, 11th Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2023, Chongqing, China, 8/12/23. https://doi.org/10.1109/ITAIC58329.2023.10408893

Research on Intelligent Generation Technology of Power Grid Operation Simulation Scheme. / Han, Yi; Qi, Xiaolin; Qiu, Chengjian et al.
IEEE ITAIC 2023 - IEEE 11th Joint International Information Technology and Artificial Intelligence Conference. ed. / Bing Xu; Kefen Mou. Institute of Electrical and Electronics Engineers Inc., 2023. p. 1519-1523 (IEEE Joint International Information Technology and Artificial Intelligence Conference (ITAIC)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Research on Intelligent Generation Technology of Power Grid Operation Simulation Scheme

AU - Han, Yi

AU - Qi, Xiaolin

AU - Qiu, Chengjian

AU - Zhang, Fengbin

AU - Yang, Nan

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

KW - dispatcher training simulator

KW - power flow convergence

KW - power grid operation mode matching

KW - power grid operation simulation scheme generating

KW - reinforcement learning

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U2 - 10.1109/ITAIC58329.2023.10408893

DO - 10.1109/ITAIC58329.2023.10408893

M3 - Conference contribution

AN - SCOPUS:85186066690

T3 - IEEE Joint International Information Technology and Artificial Intelligence Conference (ITAIC)

SP - 1519

EP - 1523

BT - IEEE ITAIC 2023 - IEEE 11th Joint International Information Technology and Artificial Intelligence Conference

A2 - Xu, Bing

A2 - Mou, Kefen

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 11th Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2023

Y2 - 8 December 2023 through 10 December 2023

ER -

Han Y, Qi X, Qiu C, Zhang F, Yang N. Research on Intelligent Generation Technology of Power Grid Operation Simulation Scheme. In Xu B, Mou K, editors, IEEE ITAIC 2023 - IEEE 11th Joint International Information Technology and Artificial Intelligence Conference. Institute of Electrical and Electronics Engineers Inc. 2023. p. 1519-1523. (IEEE Joint International Information Technology and Artificial Intelligence Conference (ITAIC)). doi: 10.1109/ITAIC58329.2023.10408893

Research on Intelligent Generation Technology of Power Grid Operation Simulation Scheme

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