1. 西安交通大学电子与信息工程学院,西安,710049
2. 西安交通大学机械制造系统工程国家重点实验室,西安,710049
网络首发:2013-08-10,
纸质出版:2013
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王兆杰 1, 高峰 1, 2, 等. 高耗能企业关口平衡问题的双目标规划模型[J]. 西安交通大学学报, 2013,47(8):26-32.
A Bi-Objective Programming Model for Gateway Balance Problem in Energy Intensive Enterprises[J]. 2013, 47(8): 26-32.
王兆杰 1, 高峰 1, 2, 等. 高耗能企业关口平衡问题的双目标规划模型[J]. 西安交通大学学报, 2013,47(8):26-32. DOI: 10.7652/xjtuxb201308005.
A Bi-Objective Programming Model for Gateway Balance Problem in Energy Intensive Enterprises[J]. 2013, 47(8): 26-32. DOI: 10.7652/xjtuxb201308005.
针对高耗能企业关口平衡问题的多解性特点
提出了关口平衡双目标规划模型
以研究关口平衡合格率、关口流量和机组出力波动性之间的关系。采用线性规划对关口平衡问题进行建模分析
以整个调度周期内不满足关口平衡条件的关口流量惩罚值总和最小作为模型的第一优化目标
并引入整个调度周期内机组调节量惩罚值总和最小作为第二优化目标
分别采用线性加权求和法和分层序列优化法对该双目标优化模型进行求解。基于国内某大型钢铁企业数据的实验结果表明
双目标规划模型能够在不增加关口流量惩罚值总和的情况下
有效减少机组出力波动。
The gateway balance problem has the characteristics of multiple solutions. A bi-objective programming model is hence proposed to study the relations among the qualified rate of gateway balance condition
the gateway flow
and the fluctuation of generation schedule curve. Linear programming is used in gateway balance problem modeling. The first optimization objective of the model is to minimize the total penalty for violations of gateway balance conditions across the entire scheduling cycle
and the second one is to minimize the total penalty for fluctuation of generation schedule curve across the entire scheduling cycle. The linear weighting method and delaminating sequence optimization method are respectively used to solve the model. Numerical tests on an iron and steel plant show that the model effectively reduces the fluctuation of the generation schedule curve without increasing the total penalty for violation of gateway balance condition across the entire time horizon.
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