Research on the Identification Method of Vulnerable Lines along the CZ Railway Considering the Uncertainty of Traction Load

Abstract

Aiming at the extremely weak power grid along the CZ railway and the uncertainty of forward and reverse traction loads, a method for identifying vulnerable lines of power system considering the uncertainty of traction loads is proposed. Firstly, the probabilistic power flow section of the system is calculated using the simulated high-speed railway load curve. Then, a high-risk power flow section discrimination algorithm is constructed using random matrix theory to extract high-risk power flow sections. Immediately after that, the correlation network of the power grid is established by using the dual graph under the high-risk section, and then the weighted z-index is proposed, which is applied to the correlation network to identify the vulnerable lines. Finally, the accuracy and effectiveness of the proposed method are verified in the simulation of the power grid along the CZ railway.