Identification of Weak Links in Distribution Network Based on Random Matrix Theory

As the scale of the power system continues to expand, the probability of weak links in the power system continues to increase, and power system accidents caused by weak links continue to increase, which greatly affects the stability of the power system. Based on this, this paper proposes an identifi...

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Bibliographic Details
Published in2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2) pp. 1919 - 1922
Main Authors Liang, Shuo, Li, Xintong, Qin, Liwen, Chen, Shaonan, Yu, Xiaoyong
Format Conference Proceeding
LanguageEnglish
Published IEEE 30.10.2020
Subjects
average spectral radius
Distribution network
Distribution networks
Mathematical model
Power system stability
random matrix theory
Stochastic processes
System integration
Systems operation
Thermal stability
weak link identification
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Summary:As the scale of the power system continues to expand, the probability of weak links in the power system continues to increase, and power system accidents caused by weak links continue to increase, which greatly affects the stability of the power system. Based on this, this paper proposes an identification of weak links in the distribution network based on random matrix theory. First, the theorems of stochastic theory are explained, then a mathematical model for power system state evaluation is constructed, and an abnormal state detection indicator based on the average spectral radius is proposed. Finally, the weak links are analyzed through actual distribution network examples. The results show that the algorithm can quickly identify The weak links in the system verify the effectiveness and practicability of the algorithm in this paper.
DOI:10.1109/EI250167.2020.9346930