Logical Node Based Topology Identification of Distributed Feeder Automation

被引：0
|
作者：
Wang Z. [1 ]
Chen Y. [1 ]
Xu B. [1 ]
Sun L. [1 ]
机构：
[1] College of Electrical and Electronic Engineering, Shandong University of Technology, Zibo
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2020年 / 44卷 / 12期
基金：
国家重点研发计划;
关键词：
Distributed control; Feeder automation; IEC; 61850; Logical node; Topology identification;
D O I：
10.7500/AEPS20190718006
中图分类号：
学科分类号：
摘要：
Distributed feeder automation (FA) requires real-time topology information of feeders to realize fault location, isolation, and power restoration of non-faulty sections. This paper analyzes the requirements of feeder real-time topology information for the application of distributed FA. Based on the modeling method of IEC 61850, new unit topology logic nodes and topology slice nodes are created to describe the feeder topology. Using the topology information configured in the smart terminal unit (STU) and the status information of the current switch device, the real-time topology identification of feeder is realized based on depth-first search to meet the application requirements of distributed FA. The validity of the proposed method is verified through case study. © 2020 Automation of Electric Power Systems Press.
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收藏
页码：124 / 130
页数：6
相关论文
共 28 条
  • [1] XU Bingyin, LI Tianyou, XUE Yongduan, Smart distribution grid and distribution automation, Automation of Electric Power Systems, 33, 17, pp. 38-41, (2009)
  • [2] XU Bingyin, XUE Yongduan, LI Tianyou, Et al., A wide area measurement and control system for smart distribution grids and its protection and control application, Automation of Electric Power Systems, 36, 18, pp. 2-9, (2012)
  • [3] SHEN Bingbing, WU Lin, WANG Peng, Technological characteristics and application effects analysis of distribution automation pilot projects, Automation of Electric Power Systems, 36, 18, pp. 27-32, (2012)
  • [4] LIU Jian, ZHANG Xiaoqing, CHEN Xingying, Et al., Fault location and service restoration for distribution networks based on coordination of centralized intelligence and distributed intelligence, Power System Technology, 37, 9, pp. 2608-2614, (2013)
  • [5] CHENG Hongli, ZHANG Wei, LIU Jian, Et al., Improvements of recloser and instantaneous protection based feeder automation and its setting approach, Automation of Electric Power Systems, 30, 15, pp. 35-39, (2006)
  • [6] LIU Jian, YUN Baoji, CUI Qi, Et al., A distributed intelligent feeder automation system with fast self-healing performance, Automation of Electric Power Systems, 34, 10, pp. 62-66, (2010)
  • [7] GAO Mengyou, XU Bingyin, FAN Kaijun, Et al., Distributed feeder automation based on automatic recognition of feeder topology, Automation of Electric Power Systems, 39, 9, pp. 127-131, (2015)
  • [8] GAO Houlei, PANG Qingle, LI Shangzhen, Et al., Self-healing control for intelligent feeder automation based on multi-agent, High Voltage Engineering, 39, 5, pp. 1218-1224, (2013)
  • [9] LING Wanshui, LIU Dong, LU Yiming, Et al., Model of intelligent distributed feeder automation based on IEC 61850, Automation of Electric Power Systems, 36, 6, pp. 90-95, (2012)
  • [10] ZIDAN A, EL-SAADANY E F., A cooperative multiagent framework for self-healing mechanisms in distribution systems, IEEE Transactions on Smart Grid, 3, 3, pp. 1525-1539, (2012)
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