Research on Fault Location of Low Voltage Distribution Network Based on Improved Ant Colony Algorithm

In the field of fault location in distribution networks, ant colony algorithm has a relatively good engineering effect, but it has the disadvantages of long convergence time, slow calculation speed, and easy to fall into local optimum. In view of the above problems, this paper improves on the traditional ant colony algorithm. First, the population pheromone matrix of the ant is changed to a sparse matrix, which greatly reduces the time complexity of the algorithm; secondly, the clustering algorithm is used to deeply analyze the distribution network, so that the algorithm can converge toward the optimal solution in the initial situation, and further improve the convergence rate. Finally, dynamic parameters are used to set a new initial pheromone, and a new local function is constructed to avoid falling into a local optimum. The calculation shows that the improved ant colony algorithm proposed in this paper is suitable for single-point and multi-point failures in the distribution network, and has good search speed and accuracy.