Secondary Verification Method of Distribution Network Model

被引:0
|
作者
Ying J. [1 ]
Cai Y. [1 ]
Du H. [1 ]
Liu M. [1 ]
Feng S. [1 ]
Yao J. [2 ]
机构
[1] NARI Group Corporation, State Grid Electric Power Research Institute, Nanjing
[2] State Grid Tianjin Electric Power Co. Ltd., Tianjin
关键词
Distribution automation; Distribution main station; Intelligent distributed feeder automation; Secondary verification; Topology model;
D O I
10.7500/AEPS20180520003
中图分类号
学科分类号
摘要
With the increasing higher demand for power supply reliability of distribution network, the traditional modes of fault process have been unable to meet the needs of users. The new technology represented by intelligent distributed feeder automation is gradually emerging. In order to solve the problem of inconsistency and inaccuracy of topology model between the intelligent distributed feeder automation system and the main station, this paper proposes a secondary verification scheme of topology model. By analyzing the topology types, the causes of topology change, and the topology update mode, the necessity of topology check is discussed. The object, scheme and defect of primary verification are described. Then, the overall framework of the secondary verification is built, and the flexible check modes are designed, while the corresponding algorithm is provided. The checking system with secondary verification functions has been developed, which can assist the checking work of model maintainers. © 2019 Automation of Electric Power Systems Press.
引用
收藏
页码:185 / 191and198
相关论文
共 21 条
  • [1] Chen L., Han B., Zhao J., Et al., Automatic graphing based verification techniques for model topology of distribution network and implementation, Automation of Electric Power Systems, 41, 2, pp. 160-164, (2017)
  • [2] Han B., Han T., Chen L., Et al., Design and implementation of network model verification method for distribution automation system, Automation of Electric Power Systems, 40, 12, pp. 75-79, (2016)
  • [3] Liu J., Zhang X., Chen X., 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)
  • [4] Liu J., Zhao S., Yun B., Et al., Fast self-healing technology in distributed intelligent feeder automation systems and its reliability enhancement, Automation of Electric Power Systems, 35, 17, pp. 67-71, (2011)
  • [5] Feng S., Wang J., Zhou L., Et al., Neighborhood quick distributed feeder automation strategy and its simulation analysis for distribution networks, Journal of Electric Power Science and Technology, 30, 4, pp. 96-104, (2015)
  • [6] Jayantilal A., Mccarthy C.A., Smarter fault location, isolation, and service restoration using integrated distribution management systems and distribution automation, IEEE Power & Energy Society General Meeting
  • [7] Cong W., Zheng Y., Zhang Z., Et al., Distributed storage and management method for topology information of smart distribution network, Automation of Electric Power Systems, 41, 13, pp. 111-118, (2017)
  • [8] Li P., Wang J., Zhang X., Et al., Distribution network topology automatic identification technology for distribution grid distributed control application, Journal of Qilu University of Technology (Natural Science Edition), 29, 2, pp. 61-65, (2015)
  • [9] Fan K., Xu B., Dong J., Et al., Identification method for feeder topology based on successive polling of smart terminal unit, Automation of Electric Power Systems, 13, 11, pp. 180-186, (2015)
  • [10] Gao M., Xu B., Fan K., Et al., Distributed feeder automation based on automatic recognition of real-time feeder topology, Automation of Electric Power Systems, 39, 9, pp. 127-131, (2015)