Construction and Application of Information Driven Transient Stability Intelligent Analyzer for Power Grid

ZHAO Gaoshang; LIU Daowei; YANG Hongying; GAO Shen; YANG Xuetao; XU Pengfei; DU Sanen; LIU Kaixin

doi:10.19725/j.cnki.1007-2322.2023.0359

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Construction and Application of Information Driven Transient Stability Intelligent Analyzer for Power Grid

更新时间：2025-10-22

- Construction and Application of Information Driven Transient Stability Intelligent Analyzer for Power Grid
- Vol. 42, Issue 5, Pages: 937-946(2025)
- 作者机构：
  
  中国电力科学研究院有限公司, 北京市海淀区,100192
- 作者简介：
- 基金信息：
- DOI：10.19725/j.cnki.1007-2322.2023.0359
  CLC： 5
- Published：2025
- 稿件说明：
移动端阅览
ZHAO Gaoshang, LIU Daowei, YANG Hongying, et al. Construction and Application of Information Driven Transient Stability Intelligent Analyzer for Power Grid[J]. 2025, 42(5): 937-946.
DOI：

ZHAO Gaoshang, LIU Daowei, YANG Hongying, et al. Construction and Application of Information Driven Transient Stability Intelligent Analyzer for Power Grid[J]. 2025, 42(5): 937-946. DOI： 10.19725/j.cnki.1007-2322.2023.0359.

摘要

暂态稳定智能分析是大电网在线智能安全防御的重要组成部分。为提高运行环境下大电网暂态安全稳定态势智能评估与自适应防控的时效性和智能化水平，该文从信息驱动的视角，提出大电网暂态稳定智能分析器构建方案，并详细介绍所涉及的核心业务算法及电网稳定态势图谱可视化展示技术。最后，结合电网安全防控应用场景，开展相关技术测试，帮助运行人员快速、准确地掌握电网运行态势，提升大电网暂态稳定在线安全防控水平。该文的研究工作有助于提高电网稳定态势智能评估与安全防控的时效性、灵活性和智能化水平，对促进人工智能技术在电网调控场景的探索和应用具有积极作用。

Abstract

The intelligent transient stability analysis plays a crucial role in the online intelligent security defense of large power grid. In this paper

we propose a construction scheme of intelligent transient stability analyzer of large power grid from the perspective of information driven to improve the timeliness and intelligence level of intelligent assessment and adaptive prevention and control of large power grid transient stability situation in the operating environment. In addition

we introduce the core business algorithm and visualization display technology of power system stability situation map in detail. Finally

based on actual power grid application scenarios

relevant technology testing and analysis were carried out

the dispatching and operation personnel can quickly and accurately comprehend the power grid operation status

thereby enhancing the online security prevention and control level of large power grid transient stability. The textual work contributes to improving the timeliness

flexibility and intelligent level of intelligent assessment in power grid stability situation and security prevention and control. It plays a positive role in promoting the exploration and application of artificial intelligence technology in power grid regulation scenarios.

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