Adaptive Distributed Graph Model for Multiple-Line Outage Identification in Large-Scale Power System

Huayi Wu1; Zhao Xu1; Youwei Jia2; Xu Xu3

2022

10.1109/JSYST.2022.3210009

IEEE Systems Journal   Impact Factor & Quartile

2373-7816

1937-9234

The real-time outage identification and localization of a potentially large number of transmission line outages is of vital importance while fairly challenging under limited measurement resources. To address this issue, an adaptive distributed graph model (ADGM) is innovatively proposed for multiple-line outage identification to hedge limited measurement and noise in the large-scale power system. By integrating a novel Laplacian convolution (LC) operation, the proposed ADGM is forceful in capturing the non-Euclidian structure of nodal voltage phase angle measurement to tackle the real-time outage identification problem effectively with measurement noise. On top of this, a novel breadth walk (BW) operation is proposed to exclude redundant measurement so that enhanced outage identification accuracy can be achieved under measurement lost. BW is then incorporated with LC to release the ADGM from numerous parameters' training burden to achieve the large-scale system outage identification. Numerical simulations are carried out based on the IEEE 30/118/300-node and Polish 2383-node testing systems, which verify the effectiveness, efficiency, and robustness of the proposed model.

Breadth walk (BW) laplacian convolution (LC) operation multiple-line outage identification

SCI

English

Others

University Grants Committee, Hong Kong Polytechnic University["G-SB4D","1-YY4T"] ; [P0038972]

Computer Science ; Engineering ; Operations Research & Management Science ; Telecommunications

Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Operations Research & Management Science ; Telecommunications

WOS:000869040300001

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

Web of Science

1.Research Institute for Smart Energy and the Department of Electrical Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China
2.Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, China
3.Department of Electrical Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China

Huayi Wu,Zhao Xu,Youwei Jia,et al. Adaptive Distributed Graph Model for Multiple-Line Outage Identification in Large-Scale Power System[J]. IEEE Systems Journal,2022,PP(99):1-11.

Huayi Wu,Zhao Xu,Youwei Jia,&Xu Xu.(2022).Adaptive Distributed Graph Model for Multiple-Line Outage Identification in Large-Scale Power System.IEEE Systems Journal,PP(99),1-11.

Huayi Wu,et al."Adaptive Distributed Graph Model for Multiple-Line Outage Identification in Large-Scale Power System".IEEE Systems Journal PP.99(2022):1-11.