Research on the Optimization of Material Distribution Routes for Power Grid Technology Upgrading Projects Considering Fuzzy Time Windows

Abstract

As China refines its strategy for green and ecologically sustainable development, the construction of innovative power systems that can integrate new energy generation has emerged as a central focus in contemporary power system development. This paper studies how to build an efficient distribution mechanism of power materials, focusing on optimizing the distribution route of materials in the power system. Based on this, a distribution route optimization model combining fuzzy time window for power grid technical transformation projects is proposed. The model uses multi-objective planning to minimize distribution costs and maximize the timeliness of material delivery for technical renovation projects. A fuzzy membership function processes the expected and maximum tolerance time windows, transforming them into a comprehensive satisfaction level for delivery timing. The model is solved with the elitist non-dominated sorting genetic algorithm (NSGA-II). The optimization results are analyzed, leading to recommendations for improving distribution. Arithmetic examples validate the proposed algorithm's feasibility, offering an effective solution for optimizing material distribution paths in grid technical reform projects. The findings provide valuable insights to support the safe operation of the power grid.