Dynamic Identification of Critical Nodes and Regions in Power Grid Based on Spatio-Temporal Attribute Fusion of Voltage Trajectory
文献类型：期刊论文
| 作者 | Bai, Xiwei1,2 ; Liu, Daowei3; Tan, Jie1; Yang, Hongying3; Zheng, Hengfeng3
|
| 刊名 | ENERGIES
 |
| 出版日期 | 2019-03-01 |
| 卷号 | 12期号:5页码:16 |
| 关键词 | critical node critical region spatio-temporal attribute fusion node voltage trajectory |
| ISSN号 | 1996-1073 |
| DOI | 10.3390/en12050780 |
| 通讯作者 | Tan, Jie(jie.tan@ia.ac.cn) |
| 英文摘要 | Accurate 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. |
| 资助项目 | National Nature Science Foundation of China[U1701262] |
| WOS研究方向 | Energy & Fuels |
| 语种 | 英语 |
| WOS记录号 | WOS:000462646700013 |
| 出版者 | MDPI |
| 资助机构 | National Nature Science Foundation of China |
| 源URL | [http://ir.ia.ac.cn/handle/173211/23489]  |
| 专题 | 综合信息系统研究中心_工业智能技术与系统 |
| 通讯作者 | Tan, Jie |
| 作者单位 | 1.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 |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。