基于遗传算法的连锁故障快速模拟及应用

CHENG Lin

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基于遗传算法的连锁故障快速模拟及应用

更新时间：2025-08-13

- 基于遗传算法的连锁故障快速模拟及应用
- Automation of Electric Power Systems Vol. 39, Issue 6, Pages: 28-33(2015)
- 作者机构：
  
  清华大学电机工程与应用电子技术系,北京市,100084
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2015
- 稿件说明：
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CHENG Lin. [J]. Automation of electric power systems, 2015, 39(6): 28-33.
DOI：

CHENG Lin. [J]. Automation of electric power systems, 2015, 39(6): 28-33. DOI：

摘要

目前

中国电网已进入跨大区互联

超、特高压交直流混合输电的快速发展时期

电网复杂程度急剧增加

发生连锁故障以致引发大面积停电事故的风险逐渐增加。文中在现有连锁故障算法研究的基础上

提出一种基于遗传算法的连锁故障快速模拟算法。该算法应用遗传算法理论

考虑系统运行条件影响

通过模拟基于自然选择的生物进化过程

搜索电力系统连锁故障风险较大的路径

模拟系统在不同初始状态下的可能连锁故障。实际算例表明

该算法可快速模拟电力系统连锁故障

发现系统薄弱环节并发出故障预警

从而进一步为连锁故障阻断对策制定及电网调度提供辅助支持。

Abstract

At present

China has finally entered a fast developing period characterized by trans-regional mutual supply

ultra high voltage (UHV)

extra high voltage (EHV) and AC-DC hybrid transmission. However

this has led to the staggering rate of power electric system complexity that increases the risk of cascading outage and blackout. A power system cascading outage simulation algorithm is proposed based on genetic algorithms. In searching for the paths with great risk of cascading outage

the algorithm takes the real-time operation environment into consideration while simulating the process of biological evolution based on natural selection. Finally probable cascading outage paths caused by different initial states are found. A case study shows that this algorithm is able to quickly simulate cascading outage

locate critical points of the system and issue alarm of outage

while providing further support to dispatchers in stopping cascading outage in its initial state. This work is supported by State Grid Corporation of China

Major Projects on Planning and Operation Control of Large Scale Grid (No. SGCC-MPLG001-2012) and National Natural Science Foundation of China (No. 51177078).

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