Study on Disturbance Propagation Characteristics of Power Grid and Evaluation of Temporal and Spatial Correlation Characteristics of Voltage Phase Trajectory

Yibo Kong, Changyou Feng, Hongying Yang, Liping Yan*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

With the access of large-scale new energy and power electronic equipment, as well as the influence of various random uncertain factors, the analysis and control of dynamic security of large power grids become particularly difficult, so it is of great practical significance to study the disturbance propagation characteristics of complex power grids. Voltage is an important parameter that affects the security of power systems, and the voltage phase trajectory contains abundant power grid information. Firstly, based on the measured data, this paper quantitatively describes the characteristics of dynamic space-time distribution of the voltage, and numerically reveals the different influences of disturbance on different nodes and the characteristics of disturbance propagation. Then, the geometric characteristics of the measured voltage phase trajectory are mined, the new trajectory distance is defined, the characteristic trajectory plane is constructed, and the spatio-temporal evolution law of voltage phase trajectory is characterized. In the sequel, through the density-based DBSCAN clustering method, the characteristic tracks of voltage movement are clustered and analyzed, and the temporal and spatial correlation characteristics of voltage movement trends of each node are measured, and the law of disturbance propagation is discovered. Finally, based on the measured data of IEEE 39-bus system, the simulation analysis is carried out, and the effectiveness of the presented algorithm is verified.

Original languageEnglish
Title of host publicationProceedings of the 41st Chinese Control Conference, CCC 2022
EditorsZhijun Li, Jian Sun
PublisherIEEE Computer Society
Pages6136-6141
Number of pages6
ISBN (Electronic)9789887581536
DOIs
Publication statusPublished - 2022
Event41st Chinese Control Conference, CCC 2022 - Hefei, China
Duration: 25 Jul 202227 Jul 2022

Publication series

NameChinese Control Conference, CCC
Volume2022-July
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference41st Chinese Control Conference, CCC 2022
Country/TerritoryChina
CityHefei
Period25/07/2227/07/22

Keywords

  • Disturbance propagation
  • Temporal and spatial correlation characteristics
  • Trajectory clustering
  • Voltage phase trajectory

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