考虑牵引负荷不确定性的CZ铁路沿线脆弱线路识别方法研究

Yunling Wang, Jiawei Liu, Min Li, Qiaoge Zhang, Yuze Tong, Zhigang Liu
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引用次数: 0

摘要

针对CZ铁路沿线极弱的电网和正反牵引负荷的不确定性,提出了一种考虑牵引负荷不确定性的电力系统脆弱线路识别方法。首先,利用模拟的高速铁路负荷曲线计算系统的概率潮流段;然后,利用随机矩阵理论构造了一种高风险潮流路段判别算法,提取高风险潮流路段。随后,利用高危路段下的对偶图建立电网相关网络,并提出加权z指数,将加权z指数应用于相关网络中识别脆弱线路。最后,通过对CZ铁路沿线电网的仿真,验证了所提方法的准确性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on the Identification Method of Vulnerable Lines along the CZ Railway Considering the Uncertainty of Traction Load
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.
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