State Grid Shanxi Electric Powe Company,
In order to improve the rationality and economy of distribution network maintenance scheduling, an optimization method of distribution network maintenance scheduling based on improved particle swarm optimization algorithm is proposed. Firstly, the optimization model of distribution network maintenance scheduling is established with the minimum maintenance cost, power supply loss and fault loss as the objective, and considering the maintenance resources, power grid security, maintenance relationship and other constraints. Then, according to the characteristics of many and complex constraints in the model, corresponding preprocessing methods are proposed for different types of constraints; On the basis of adaptive particle swarm optimization (PSO) algorithm, the idea of natural selection is integrated into the process of "survival of the fittest" to improve the overall quality of the population. Finally, the improved particle swarm optimization algorithm is applied to a specific example. The results show that the model and algorithm proposed in this paper have good feasibility and rationality.