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电厂优化配煤多目标机会约束数学模型的建立
Conduct The Multi-Objective Chance-Constrained Model for Coal Blending Optimization
【摘要】 在随机规划学的基础上 ,建立了电厂优化配煤的多目标机会约束数学模型。在此模型中 ,燃煤的煤质特性包括发热量、挥发份、灰份、水份和硫份等均被认为符合正态分布规律的随机变量 ,以此充分描述掺配煤种煤质不断波动的事实。图 2表 2参 4
【Abstract】 Based on stochastic programming, a multi objective chance constrained optimization model is developed for an illustrative coal blending problem. This model considered such coal qualities as heat value, moisture, volatile, ash content, etc. according with normal distribution, for the purpose of limiting the variability in coal properties into a range probability permitted. Figs 2, tables 2 and refs 4.
【关键词】 电厂;
动力配煤;
随机规划;
机会约束;
数学模型;
【Key words】 power plant; power coal blending; stochastic programming; chance constrain;
【Key words】 power plant; power coal blending; stochastic programming; chance constrain;
- 【文献出处】 动力工程 ,Power Engineering , 编辑部邮箱 ,2001年01期
- 【分类号】TB11
- 【被引频次】31
- 【下载频次】361