基于广义Benders分解的分布式热电联供机组规划方法
A Planning Method of Distributed Combined Heat and Power Generator Based on Generalized Benders Decomposition
查看参考文献17篇
文摘
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在分布式热电联供系统中,用户需要优化选择机组组合和系统运行方案,这样可以使得生产成本最小,减少二氧化碳的排放。为此,分布式热电联供机组的规划需要综合考虑热负荷、电负荷和可选的机组方案,以及系统未来的运行情况。在综合考虑了热电联供机组的初始投资及其模拟运行时组合效益的基础上,建立了以系统等年值费用最小为目标的精细化数学规划模型。在规划模型中,存在大量的整数变量,同时模型本身是非线性的,应用广义Benders分解方法对该模型进行了求解。通过算例的规划与仿真分析,表明所述方法可以更加准确地规划出热电机组的类型及台数,系统能够取得更佳的经济效益。 |
其他语种文摘
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In the distributed heat and power system, customers need to optimally select the generator composition and the dispatch plan that can reduce the introducing cost and carbon-dioxide emissions. So in the programming stage, they should also consider the heat and power load in the area and the candidate of generator, while considering the operation situation. A subtle mathematical programming model with the target of minimizing the system cost is proposed, with an overview of the initial investment of combined heat and power generator and its combined benefits when in the simulative operation mode. In the planning model, there exist a lot of integer variables and the fact that the model itself is nonlinear. The generalized Benders decomposition method is used for its solution. The results of an example program and simulation analysis show that the proposed method can more accurately calculate the type and number of combined heat and power generators, and the system can yield better economic benefits. |
来源
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电力系统自动化
,2014,38(12):27-33 【核心库】
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DOI
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10.7500/aeps20130802001
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关键词
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热电联供
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广义Benders分解
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混合整数非线性规划
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地址
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中国科学院电工研究所, 北京, 100190
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语种
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中文 |
文献类型
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研究性论文 |
ISSN
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1000-1026 |
学科
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电工技术 |
基金
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国家自然科学基金资助项目
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中国科学院知识创新工程重要方向项目
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文献收藏号
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CSCD:5174051
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