基于改进粒子群算法的新能源供应链调度模型优化

打开文本图片集

中图分类号：TM734 文献标志码：A文章编号：1001-5922（2025）05-0155-04

Abstract：In order to improve the utilization eficiency of new energy，a new energysupply chain scheduling optimization model was constructed withthe lowest total operating cost as the objective function and energy balance and output power as constraints.Then，the model was solved by using the improved particle swarm optimization （PSO） algorithm introducing chaos strategy，and the scheduling optimization of the new energy supplychain was realized. The simulation results showed that the proposed dispatching optimization model could formulate a reasonable new energysupply plan，and efectively reduce the total operating cost when thecombined heat and power microgrid is operated independently and connected to the grid.Compared with theconventional scheduling optimization model， the proposed model has lower total operating cost，certain reliability and superiority，and provides a reference for improving the utilization rate of new energy.

Key words：particle swarm optimization algorithm；new energy supply chain；scheduling optimization；heat and power combined microgrids

近年来，光伏发电和风力发电技术的成熟，新能源供电成为我国电力系统微电网供电的重要组成部分。（剩余5473字）