Expanding Annular Domain Algorithm to Estimate Domains of Attraction for Power System Stability Analysis

Yuqing Lin; Tianhao Wen; Yang Liu; Q. H. Wu

doi:10.17775/CSEEJPES.2022.07620

欢迎来到能源电力期刊网！

English Version 期刊登录

您当前的位置：

首页 >

文章列表页 >

Expanding Annular Domain Algorithm to Estimate Domains of Attraction for Power System Stability Analysis

Regular Papers | 更新时间：2026-10-15

- Expanding Annular Domain Algorithm to Estimate Domains of Attraction for Power System Stability Analysis
- Expanding Annular Domain Algorithm to Estimate Domains of Attraction for Power System Stability Analysis
- 中国电机工程学会电力与能源系统学报(英文) 2024年10卷第5期页码：1925-1934
- 作者机构：
  
  School of Electric Power Engineering, South China University of Technology,Guangzhou,China
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2022.07620
  中图分类号：
- 纸质出版：2024-09-01
- 稿件说明：
移动端阅览
Yuqing Lin, Tianhao Wen, Yang Liu, 等. Expanding Annular Domain Algorithm to Estimate Domains of Attraction for Power System Stability Analysis[J]. 中国电机工程学会电力与能源系统学报(英文), 2024,10(5):1925-1934.

Yuqing Lin, Tianhao Wen, Yang Liu, et al. Expanding Annular Domain Algorithm to Estimate Domains of Attraction for Power System Stability Analysis[J]. CSEE Journal of Power and Energy Systems, 2024, 10(5): 1925-1934.
Yuqing Lin, Tianhao Wen, Yang Liu, 等. Expanding Annular Domain Algorithm to Estimate Domains of Attraction for Power System Stability Analysis[J]. 中国电机工程学会电力与能源系统学报(英文), 2024,10(5):1925-1934. DOI： 10.17775/CSEEJPES.2022.07620.

Yuqing Lin, Tianhao Wen, Yang Liu, et al. Expanding Annular Domain Algorithm to Estimate Domains of Attraction for Power System Stability Analysis[J]. CSEE Journal of Power and Energy Systems, 2024, 10(5): 1925-1934. DOI： 10.17775/CSEEJPES.2022.07620.

摘要

Abstract

This paper presents an Expanding Annular Domain (EAD) algorithm combined with Sum of Squares (SOS) programming to estimate and maximize the domain of attraction (DA) of power systems. The proposed algorithm can systematically construct polynomial Lyapunov functions for power systems with transfer conductance and reliably determine a less conservative approximated DA

which are quite difficult to achieve with traditional methods. With linear SOS programming

we begin from an initial estimated DA

then enlarge it by iteratively determining a series of so-called annular domains of attraction

each of which is characterized by level sets of two successively obtained Lyapunov functions. Moreover

the EAD algorithm is theoretically analyzed in detail and its validity and convergence are shown under certain conditions. In the end

our method is tested on two classical power system cases and is demonstrated to be superior to existing methods in terms of computational speed and conservativeness of results.

关键词

Keywords

references

30. J. R. Forbes, “L2-gain and passivity techniques in nonlinear control, Third Edition [Bookshelf ] ,” IEEE Control Systems Magazine , vol. 37, no. 6, pp. 75–76, Dec. 2017.

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

Estimating Transient Stability Regions of Large-Scale Power Systems Part II: Reduced-Order Stability Region with Computational Efficiency

Improved EAD Algorithm to Estimate Domains of Attraction of Power Systems Including Induction Motors for Transient Voltage Stability Analysis

Estimating Critical Clearing Time of Grid Faults Using DA of State-Reduction Model of Power Systems

Transient Stability Analysis of Multiple GFM Converters Connected into an Equivalent Grid from Perspective of Unbalanced Energy

Control Strategy of Improved VSGs with Power Angle Compensation and Reactive Power Support Capability for Hybrid Multi-terminal HVDC Systems