Prediction and Identification Method for Commutation Failure Considering Multi-factor Influence

被引：0
|
作者：
Cai W. [1 ]
Yang G. [2 ]
Du D. [2 ]
Wang X. [2 ]
机构：
[1] State Key Laboratory of Alternate Electrical Power System With Renewable Energy Source, North China Electric Power University, Changping District, Beijing
[2] State Key Laboratory of Power Grid Safety and Energy Conservation, China Electric Power Research Institute, Haidian District, Beijing
来源：
Dianwang Jishu/Power System Technology | 2019年 / 43卷 / 10期
关键词：
Commutation failure; HVDC; Influencing factor; Prediction method;
D O I：
10.13335/j.1000-3673.pst.2019.1098
中图分类号：
学科分类号：
摘要：
Commutation failure is one of the most common faults in conventional HVDC transmission systems, seriously impacting safety and stability of the AC system at receiving end. Most of existing methods of commutation failure prediction and identification only consider the influence of a single variable, and are difficult to reflect complex transient process when commutation failure occurs. This paper defines a commutation failurerisk factor by analyzing the main factors causing commutation failure to predict the risk of commutation failure, and, through simulation analysis, extracts the typical characteristics of the phase change of the output current of DC inverter station to quickly identify commutation failure. Combining above two methods, a new method for predicting and identifying commutation failures is designed. A multi-circuit DC access model of East China power grid was built with RTDS for simulation verification. The simulation results verify effectiveness of the proposed method. © 2019, Power System Technology Press. All right reserved.
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页码：3477 / 3487
页数：10
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