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基于改进算术优化算法的低压配电网故障区段定位

Fault Section Location in Low-Voltage Distribution Networks Based on Improved Arithmetic Optimization Algorithm.

  • 摘要: 为了提高低压配电网故障区段定位的准确性和快速性,解决现有算法易陷入局部最优状态、探索力不足以及准确度低的问题,提出了一种基于改进算术优化算法实现低压配电网故障区段定位的方法,通过改造数学优化加速系数MOA函数、引入自适应t分布扰动策略以及优化最优值赋值函数这3个方面来优化算法的搜索能力,使算法跳出局部最优状态并提高算法的准确度。此外,选取IEEE 33节点的配电网模型并应用Matlab对模型节点支路、节点开关状态和适应度函数进行了仿真,对单点故障和多点故障以及存在信号畸变的单多点故障进行仿真分析。结果表明,利用改进算术优化算法的局部搜索和全局搜索分开进行的特点对故障区段定位问题进行充分搜索,可实现故障区段准确定位。

     

    Abstract: To improve the accuracy and speed of fault section location in low-voltage distribution networks, existing algorithms face issues such as a tendency to fall into local optima, insufficient exploration capabilities, and low accuracy, which limit their ability to locate faults. Additionally, in low-voltage distribution networks, the operating environment for distribution terminals is relatively harsh, which may lead to underreporting or misreporting of information. Therefore, this paper proposes a method for fault section location based on an improved arithmetic optimization algorithm. The IEEE 33-node distribution network model is selected, and Matlab is used to program and simulate the model's node branches, node switch states, and fitness functions. Simulation calculations are performed for single-point faults, multiple-point faults, and faults with signal distortions, and the simulation results are analyzed. The results show that by leveraging the characteristic of the improved arithmetic optimization algorithm, which separates local search and global search, a thorough local search can be conducted for the fault section location problem, achieving accurate positioning.

     

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