CASIA OpenIR
Dynamic Identification of Critical Nodes and Regions in Power Grid Based on Spatio-Temporal Attribute Fusion of Voltage Trajectory
Bai, Xiwei1,2; Liu, Daowei3; Tan, Jie1; Yang, Hongying3; Zheng, Hengfeng3
Source PublicationENERGIES
ISSN1996-1073
2019-03-01
Volume12Issue:5Pages:16
Corresponding AuthorTan, Jie(jie.tan@ia.ac.cn)
AbstractAccurate identification of critical nodes and regions in a power grid is a precondition and guarantee for safety assessment and situational awareness. Existing methods have achieved effective static identification based on the inherent topological and electrical characteristics of the grid. However, they ignore the variations of these critical nodes and regions over time and are not appropriate for online monitoring. To solve this problem, a novel data-driven dynamic identification scheme is proposed in this paper. Three temporal and three spatial attributes are extracted from their corresponding voltage phasor sequences and integrated via Gini-coefficient and Spearman correlation coefficient to form node importance and relevance assessment indices. Critical nodes and regions can be identified dynamically through importance ranking and clustering on the basis of these two indices. The validity and applicability of the proposed method pass the test on various situations of the IEEE-39 benchmark system, showing that this method can identify the critical nodes and regions, locate the potential disturbance source accurately, and depict the variation of node/region criticality dynamically.
Keywordcritical node critical region spatio-temporal attribute fusion node voltage trajectory
DOI10.3390/en12050780
Indexed BySCI
Language英语
Funding ProjectNational Nature Science Foundation of China[U1701262]
Funding OrganizationNational Nature Science Foundation of China
WOS Research AreaEnergy & Fuels
WOS SubjectEnergy & Fuels
WOS IDWOS:000462646700013
PublisherMDPI
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/23490
Collection中国科学院自动化研究所
Corresponding AuthorTan, Jie
Affiliation1.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.China Elect Power Res Inst, Beijing 100192, Peoples R China
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Bai, Xiwei,Liu, Daowei,Tan, Jie,et al. Dynamic Identification of Critical Nodes and Regions in Power Grid Based on Spatio-Temporal Attribute Fusion of Voltage Trajectory[J]. ENERGIES,2019,12(5):16.
APA Bai, Xiwei,Liu, Daowei,Tan, Jie,Yang, Hongying,&Zheng, Hengfeng.(2019).Dynamic Identification of Critical Nodes and Regions in Power Grid Based on Spatio-Temporal Attribute Fusion of Voltage Trajectory.ENERGIES,12(5),16.
MLA Bai, Xiwei,et al."Dynamic Identification of Critical Nodes and Regions in Power Grid Based on Spatio-Temporal Attribute Fusion of Voltage Trajectory".ENERGIES 12.5(2019):16.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Bai, Xiwei]'s Articles
[Liu, Daowei]'s Articles
[Tan, Jie]'s Articles
Baidu academic
Similar articles in Baidu academic
[Bai, Xiwei]'s Articles
[Liu, Daowei]'s Articles
[Tan, Jie]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Bai, Xiwei]'s Articles
[Liu, Daowei]'s Articles
[Tan, Jie]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.