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火电企业燃煤采购状况分析及采购计划优化 被引量:2

Analysis of coal-fired procurement status and optimization of procurement plan in thermal power enterprises
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摘要 降低燃煤采购成本、减少燃煤消耗总量是火力发电行业提升综合竞争力、增强碳减排能力的重要途径。基于某国有大型火电企业下属某省公司全年燃煤采购、消耗数据,考虑燃煤品位、采购与运输成本、用户侧需求及供应侧能力等综合因素,应用数学规划方法研究燃煤采购计划优化问题,构建混合整数规划模型,并通过两阶段近似优化算法进行求解。数值实验表明:在运营环境确定的情况下,燃煤采购计划优化模型能够降低燃煤采购成本达0.41%,该火电企业预期每年可节约燃煤采购资金2000万元,据此推算全国火电行业每年可节约燃煤采购资金30亿元。即使在现实运营环境中诸多不确定因素影响下,实行和推广燃煤采购优化方法仍能为火电企业带来显著效益。 Reducing the procurement cost of coal and reducing the total consumption of coal is an important way for the thermal power industry to enhance its comprehensive competitiveness and enhance its ability to reduce carbon emissions.Based on the annual coal procurement and consumption data of a provincial company affiliated to a large state-owned thermal power enterprise,and considering comprehensive factors such as coal grade,procurement and transportation costs,user-side demand and supply-side capacity,the optimization of coal-fired procurement plans is studied by applying mathematical programming methods problem,construct a mixed integer programming model,and solve it by a two-stage approximate optimization algorithm.Numerical experiments show that:in the case of a certain operating environment,the coal-fired procurement plan optimization model can reduce the coal-fired procurement cost by 0.41%.The thermal power company is expected to save coal-fired procurement funds of 20 million yuan per year.Based on this,it is estimated that the national thermal power industry It can save 3 billion yuan of coal procurement funds every year.Even under the influence of many uncertain factors in the real operating environment,the implementation and promotion of coal-fired procurement optimization methods can still bring significant benefits to thermal power companies.
作者 王晶 Wang Jing(Sinosteel Shijiazhuang Engineering Design&Research Institute Co.,Ltd.,Shijiazhuang 052165,China)
出处 《煤炭经济研究》 2022年第3期82-88,共7页 Coal Economic Research
关键词 火电企业 燃煤采购 优化模型 碳减排 经济效益 thermal power enterprises coal procurement optimization model carbon emission reduction economic benefits
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