基于改進(jìn)粒子群算法的新能源供應(yīng)鏈調(diào)度模型優(yōu)化

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中圖分類號(hào)：TM734 文獻(xiàn)標(biāo)志碼：A文章編號(hào)：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

近年來，光伏發(fā)電和風(fēng)力發(fā)電技術(shù)的成熟，新能源供電成為我國電力系統(tǒng)微電網(wǎng)供電的重要組成部分。（剩余5473字）