Distribution Network Fault Segment Location Algorithm Based on Bayesian Estimation in Intelligent Distributed Control Mode

被引：0
|
作者：
Zheng C. [1 ]
Zhu G. [1 ]
机构：
[1] College of Electric Power, South China University of Technology, Guangzhou, 510640, Guangdong Province
来源：
Dianwang Jishu/Power System Technology | 2020年 / 44卷 / 04期
关键词：
Bayesian probability model; Causal relationship; Distributed control mode;
D O I：
10.13335/j.1000-3673.pst.2019.0734
中图分类号：
学科分类号：
摘要：
As distributed protection and control system is more in line with the structural characteristics and operational requirements of smart distribution grid, it becomes an important development direction for future distribution network. Taking intelligent distributed control mode as an example, this paper uses the 'voting' strategy in Byzantine agreement to establish a causal relationship between feeder state and feeder terminal unit (FTU) status in algebraic form, and identify possible fault segments with decision information. Finally, Bayesian probability model is used to identify the fault location best explaining overcurrent information. The proposed method eliminates the problem that centralized fault location system is limited by information transmission distance and the information processing capability of the primary station. For the complex distribution network with T-type coupling node, the proposed method can identify fault accurately in condition of single or multiple faults. Its high-tolerance performance is verified with simulation results. © 2020, Power System Technology Press. All right reserved.
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页码：1561 / 1567
页数：6
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