A Data-Driven Vulnerability Evaluation Method in Grid Edge Based on Random Matrix Theory Indicators

A Data-Driven Vulnerability Evaluation Method in Grid Edge Based on Random Matrix Theory Indicators

In order to solve the problem of vulnerability assessment of complex power systems facing complex structures and large sizes, a novel data driven method based on random matrix theory is proposed in this paper. Firstly, with the use of phasor measurement units (PMUs) big data, evaluation matrices are...

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Bibliographic Details
Main Authors: Kai Ding, Yimin Qian, Yi Wang, Pan Hu, Bo Wang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
PMU measurement
voltage stability
power system vulnerability
random matrix theory
big data
Online Access:https://ieeexplore.ieee.org/document/8978940/

Internet

https://ieeexplore.ieee.org/document/8978940/

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