• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

ELECTRIC POWER CONSTRUCTION ›› 2022, Vol. 43 ›› Issue (3): 31-41.doi: 10.12204/j.issn.1000-7229.2022.03.004

• Research and Application of Key Technologies for Distribution Network Planning and Operation Optimization under New Energy Power Systems ·Hosted by Professor WANG Shouxiang, Dr. ZHAO Qianyu· • Previous Articles     Next Articles

Optimal Configuration Method of Edge Computing Units forRapid Faults Processing in Distribution Network

PAN Siyu(), LIU Baozhu()   

  1. School of Electrical and Electronic Engineering, North China ElectricPower University, Beijing 102206, China
  • Received:2021-08-17 Online:2022-03-01 Published:2022-03-24
  • Contact: LIU Baozhu E-mail:pansiyu0702@163.com;bzliu@ncepu.edu.cn
  • Supported by:
    National Natural Science Foundation of China(51877078)


With the continuous improvement of the automation level of distribution network, the sensing terminals and access data have increased sharply. Problems such as slow data transmission and information missing and false alarms have seriously affected the speed and accuracy of fault handling. Edge computing can quickly and efficiently process data and make decisions on the spot. To this end, an optimized configuration method of edge computing units for rapid processing of distribution network faults is proposed, including system architecture, edge generation, and division methods. Firstly, the objective function is constructed by economic and communication real-time indicators, and reliability and system requirements are constraints to solve the optimal number of edge. Then, spectral clustering combined with k-means algorithm is used to divide the jurisdiction and location of edge, and partitions are modified according to balance and actual requirements. Finally, the IEEE 33-node and IEEE 69-node systems are verified as examples. The fault simulation model based on Matlab/Simulink is established. Compared with traditional methods, this method can deal with distribution network faults correctly and quickly, and effectively guarantee the safe and stable operation of distribution network.

Key words: distribution network, fault handling, edge computing, optimal configuration, edge division

CLC Number: