病态最远点的识别及稳定裕度的修正

YIN Minghui; ZOU Yun; XUE Yusheng

您当前的位置：

首页 >

文章列表页 >

病态最远点的识别及稳定裕度的修正

更新时间：2025-08-13

- 病态最远点的识别及稳定裕度的修正
- Automation of Electric Power Systems Vol. 33, Issue 2, Pages: 1-4(2009)
- 作者机构：
  
  1. 南京理工大学自动化学院,江苏省,南京市,210094
  2. 国网电力科学研究院/南京南瑞集团公司,江苏省,南京市,210003
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2009
- 稿件说明：
移动端阅览
YIN Minghui, ZOU Yun, XUE Yusheng. [J]. Automation of electric power systems, 2009, 33(2): 1-4.
DOI：

YIN Minghui, ZOU Yun, XUE Yusheng. [J]. Automation of electric power systems, 2009, 33(2): 1-4. DOI：

摘要

扩展等面积准则（EEAC）理论揭示了时变因素影响稳定性的机理。在此基础上，进一步分析由群内非同调导致映象系统的强时变性及病态最远点（FEP）现象，并探讨其对稳定分析准确性的影响。提出病态FEP的识别方法和相应摆次稳定裕度的修正方法，提高了强时变性条件下的评估精度。方法的有效性和强壮性在新英格兰系统的仿真中得到了验证。此项研究加深了对非自治非线性系统稳定机理的理解。

Abstract

EEAC theory reveals the mechanism of how the time-varying factor affects the stability of image systems. Based on this theory， the strong time-varying of image systems caused by the inner-cluster incoherency and the phenomenon of ill-conditioned FEP（IFEP） are analyzed. Moreover， their effects on the accuracy of the transient stability analysis are studied. With this knowledge， the identification method of IFEP and the correction method of transient stability margin of stable swings are proposed for enhancing the accuracy of stability assessments in strong time-varying systems. The effectiveness and robustness of the above methods are thoroughly verified in the New England system. This research also contributes to the study on stability mechanisms of nonlinear non-autonomous systems.

关键词

Keywords

references

Views

2094

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

受扰轨迹上动态鞍点的病态及其识别

Review of Stability Analysis Methods and Improvement Measures for Power System Dominated by Multiple Virtual Synchronous Generators

Transient Stability Enhancement Method for Grid-forming Converter Based on Joint Control of Active and Reactive Power

Related Author

HU Qinran

WU Shaohui

HAN Rushuai

ZHANG Wang

QIAN Tao

QUAN Xiangjun

HOU Kai

WU Zaijun

Related Institution

School of Electrical Engineering, Southeast University

State Grid Hefei Power Supply Company

State Grid Electric Power Research Institute (NARI Group Corporation)

NARI Group Corporation (State Grid Electric Power Research Institute)

CRRC Zhuzhou Electric Locomotive Research Institute Co., Ltd.

⁰