冷热电三联供(combined cooling,heating and power,CCHP)系统具有以热定电、以冷定电和冷热电联产等多种运行模式,但在多类型用户能源需求条件下较难实现冷热电三联供的最佳整体能效。为此,综合考虑用户满意度和新能源消纳能力,提出一...冷热电三联供(combined cooling,heating and power,CCHP)系统具有以热定电、以冷定电和冷热电联产等多种运行模式,但在多类型用户能源需求条件下较难实现冷热电三联供的最佳整体能效。为此,综合考虑用户满意度和新能源消纳能力,提出一种冷热电三联供与分布式光伏联合优化及理想模糊决策方法。首先,分析光伏发电(photovltaic,PV)的出力特性,构建冷热电三联供与分布式光伏联合优化模型;其次,提出用户满意度和新能源消纳能力的性能优化评价指标,并使用基于小生境的混合二进制粒子群优化算法,对冷热电三联供与分布式光伏联合优化模型进行解算,用理想模糊决策方法对优化指标进行评估,使区域能源在最大限度保持经济性的条件下,既能让一次能源的使用率降低又能提高系统的整体效益;最后,通过案例对所提方案进行验证,结果可为区域能源综合利用的改造升级提供借鉴。展开更多
Supplier selection can be regarded as a typical multiple attribute decision-making problem. In real-world situation, the values of the alternative attributes and their weights are always being nondeterministic, and as...Supplier selection can be regarded as a typical multiple attribute decision-making problem. In real-world situation, the values of the alternative attributes and their weights are always being nondeterministic, and as a result of this, the values are considered interval numbers. In addition, the common approach to measure the similarity between alternatives through their distance suffers from some minor shortcomings. To address these problems, this study develops a novel hybrid decision-making method by combining the technique for order preference by similarity to an ideal solution （TOPSIS） with grey relational analysis （GRA） for supplier selection with interval numbers. By introducing the intervals theory, the extensions of Euclidean distance and grey relational grade are defined. And then a new comprehensive closeness coefficient is constituted for supplier alternatives evaluation based on the interval Euclidean distance and the interval grey relational grade, which could indicate the distance-based similarity and the shape-based similarity simultaneously. A mtmerical example is taken to validate the flexibility of the proposed method, and result shows that this method can tackle the uncertainty in real-world supplier selection and also help decision makers to effectively select optimal suppliers.展开更多
文摘冷热电三联供(combined cooling,heating and power,CCHP)系统具有以热定电、以冷定电和冷热电联产等多种运行模式,但在多类型用户能源需求条件下较难实现冷热电三联供的最佳整体能效。为此,综合考虑用户满意度和新能源消纳能力,提出一种冷热电三联供与分布式光伏联合优化及理想模糊决策方法。首先,分析光伏发电(photovltaic,PV)的出力特性,构建冷热电三联供与分布式光伏联合优化模型;其次,提出用户满意度和新能源消纳能力的性能优化评价指标,并使用基于小生境的混合二进制粒子群优化算法,对冷热电三联供与分布式光伏联合优化模型进行解算,用理想模糊决策方法对优化指标进行评估,使区域能源在最大限度保持经济性的条件下,既能让一次能源的使用率降低又能提高系统的整体效益;最后,通过案例对所提方案进行验证,结果可为区域能源综合利用的改造升级提供借鉴。
文摘为实现某铅锌矿山无底柱深孔后退式崩矿法安全高效开采,开展采场结构参数优化研究.实测-650 m中段原岩应力,运用Surpac-FLAC3D模型生成技术构建数值分析模型,进而采用多元应力回归方法反演初始地应力场.通过弹性力学小薄板理论分析得到顶板稳定性随采场结构参数的变化关系,结合实际采准条件,提出采场结构参数初选方案.基于反演地应力场,进行初选方案开采数值分析,获得各方案力学响应指标.引入多目标理想点法决策,考虑安全和经济指标,计算方案评价指标集与理想解的向量近似度,优化确定该矿无底柱深孔后退式崩矿法采场结构参数为矿房采场宽10 m,矿柱采场宽8 m.
基金Project(51505488)supported by the National Natural Science Foundation of China
文摘Supplier selection can be regarded as a typical multiple attribute decision-making problem. In real-world situation, the values of the alternative attributes and their weights are always being nondeterministic, and as a result of this, the values are considered interval numbers. In addition, the common approach to measure the similarity between alternatives through their distance suffers from some minor shortcomings. To address these problems, this study develops a novel hybrid decision-making method by combining the technique for order preference by similarity to an ideal solution （TOPSIS） with grey relational analysis （GRA） for supplier selection with interval numbers. By introducing the intervals theory, the extensions of Euclidean distance and grey relational grade are defined. And then a new comprehensive closeness coefficient is constituted for supplier alternatives evaluation based on the interval Euclidean distance and the interval grey relational grade, which could indicate the distance-based similarity and the shape-based similarity simultaneously. A mtmerical example is taken to validate the flexibility of the proposed method, and result shows that this method can tackle the uncertainty in real-world supplier selection and also help decision makers to effectively select optimal suppliers.
