多期生物质发电燃料供应链优化

随着我国生物质发电产业的迅速发展，生物质发电装机容量逐年增加，然而生物质电厂必须依靠政府补贴才能维持正常运行。本文针对生物质电厂盈利能力差这一现实问题，以电厂利润最大为目标，考虑燃料的收集、运输、预处理、贮存及使用环节，建立了生物质发电燃料供应链的多期非线性优化模型。研究在现有的发电技术和自然资源条件下，电厂能否通过调整发电量、燃料收购量及燃料掺烧比例实现更高的盈利水平。本文通过将模型应用于东北某生物质电厂，求出电厂最大年利润和相应的决策变量值。证明了在其他条件不变的情况下，电厂可以通过改变燃料收购和使用模式，提升其盈利能力。

Research on Multi-stage Optimization for a Biomass Power Generation Supply Chain

With the rapid development of biomass power generation industry in China，the biomass power generation capacity had increased year by year. However，the biomass power plants would not survive without government subsidies. This paper focused on maximizing the profit of biomass power plants and established a nonlinear multi-stage optimization model for a biomass power generation supply chain with consideration of the collection，transportation，processing，storage，and using of biomass fuel. The aim was to find that under existing technology and resource conditions，whether the biomass power plants could gain more profits by adjusting their power generation quantity，fuel purchasing quantity and fuel blending ratio. Then the model was applied to a biomass power plant in Northeast China. The optimization results confirmed that the biomass power plants could improve their profitability by changing fuel purchasing and using patterns in terms of other conditions remain unchanged.