Electronic Science and Technology ›› 2023, Vol. 36 ›› Issue (12): 25-31.doi: 10.16180/j.cnki.issn1007-7820.2023.12.004

Previous Articles     Next Articles

An Arithmetic Optimization Algorithm Based Fault Section Location Method for Low Voltage Distribution Networks

WANG Xinyang1,WANG Ruiyang2,WEI Yunbing1   

  1. 1. School of Electronic and Electrical Engineering,Shanghai University of Engineering Science,Shanghai 201620,China
    2. Xuchang Electrical Vocational College,Xuchang 461002,China
  • Received:2022-07-13 Online:2023-12-15 Published:2023-12-05
  • Supported by:
    National Natural Science Foundation of China(62173222)

Abstract:

In order to improve the accuracy and speed of fault location in low-voltage distribution networks and to ensure the safety of residents' electricity consumption, a method based on arithmetic optimization algorithm is proposed to realise fault section location. The arithmetic optimization algorithm has the advantages of simple structure, fast convergence speed and high accuracy. The IEEE 33-node distribution network model is selected and MATLAB is used to program and simulate the node branches, node switching states and adaptation functions of this model. Simulations are carried out for single-point and multi-point faults, as well as single-multi-point faults with signal distortion, and the simulation results are analysed. The results show that the arithmetic optimization algorithm's feature of separate local and global search is used to perform a local adequate search for the fault section location problem, resulting in an accurate location that can achieve an accuracy of 97%, outperforming the binary particle swarm algorithm, genetic algorithm and improved whale optimisation algorithm.

Key words: low voltage distribution networks, fault section location, IEEE33 nodes, arithmetic optimization algorithm, fitness function, particle swarm algorithm, genetic algorithm, whale optimization algorithm

CLC Number: 

  • TP183