skip to main content
10.1145/3508546.3508558acmotherconferencesArticle/Chapter ViewAbstractPublication PagesacaiConference Proceedingsconference-collections
research-article

Study on the Influence of Extreme Weather on Power Grid Operation under New Power System

Published: 25 February 2022 Publication History

Abstract

In recent years, extreme weather has occurred frequently. Extreme weather such as typhoon is one of the most serious natural disasters affecting the safe and stable operation of power system, and can easily cause bad accidents in power system lines, such as line breakage and pole (tower). In this paper, the influenced area in power system after typhoon is analyzed by building the early warning model of typhoon track prediction. In addition, the power system operation risk is accessed under typhoon by combining the current power system operation state, the equipment shutdown probability in the extreme weather conditions and scheduling operation experience together. Finally, a power system emergency scheduling decision strategy for power emergency management is proposed by using the optimal power flow algorithm, which has achieved the goal of disaster reduction under the extreme weather conditions. The strategy validity is verified through the simulation analysis on IEEE-300 network. The simulation results show that the scheduling strategy can effectively control the disaster development, and the system is stable after taking control measures.

References

[1]
Amew. Power system operation corporation limited. New Delhi: National Load Despatch Centre, 2012-07-30 T11: 50.
[2]
Zhang Yong, Zhao Yong, Wang Jingliang, Impact of Typhoon on power grid operation and countermeasures [J]. China Southern Power Grid Technology [J]. 2012, 6 (1): 42-45
[3]
Song Xiaozhe, Wang Zhen, Gan Deqiang, Power grid transient stability risk assessment under typhoon weather [J]. Power system protection and control, 2012, 40 (24): 1-8
[4]
Jelesnianski C P. A numerical calculation of storm tides induced by a tropical storm impinging on a continental shelf[J]. Monthly weather review, 1965, 93(6): 343-358.
[5]
Zhang Yude, Shang Shaoping, Xie Yanshuang, Typhoon wind field model based on strong wind circle radius [J]. Journal of Xiamen University (NATURAL SCIENCE EDITION), 2014, 53 (2): 252-256
[6]
Fang Song, Fang Lihua, Xiong Xiaofu, Power grid typhoon disaster early warning method based on effective decision-making circle [J]. Power system protection and control, 2014, 42 (18): 83-88
[7]
Bao Bo, Cheng Renli, Xiong Xiaofu, A typhoon risk early warning method for transmission line considering micro terrain correction [J]. Power system protection and control, 2014, 42 (14): 79-86
[8]
Hu Shizhao, Chen Gang, Zhou Wei, Emergency handling and Reflection on Guangdong power grid dispatching during typhoon "wesent" [J]. Guangdong electric power, 2013, 26 (6): 1-4

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences
ACAI '21: Proceedings of the 2021 4th International Conference on Algorithms, Computing and Artificial Intelligence
December 2021
699 pages
ISBN:9781450385053
DOI:10.1145/3508546
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 February 2022

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. Extreme weather
  2. Optimal power flow
  3. Risk assessment
  4. Typhoon wind field model

Qualifiers

  • Research-article
  • Research
  • Refereed limited

Funding Sources

  • China Southern Power Grid Company Limited 036000KK52190005(GDKJXM20198110)

Conference

ACAI'21

Acceptance Rates

Overall Acceptance Rate 173 of 395 submissions, 44%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 41
    Total Downloads
  • Downloads (Last 12 months)4
  • Downloads (Last 6 weeks)0
Reflects downloads up to 16 Feb 2025

Other Metrics

Citations

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format.

HTML Format

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media