火电厂燃煤智能优化系统研究  

Study on Coal Intelligent Optimization System of Power Plants

作　　者：罗毅[1] 马增辉[1] 

机构地区：[1]华北电力大学控制科学与工程学院,北京102206

出　　处：《现代电力》2008年第1期67-72,共6页Modern Electric Power

摘　　要：针对电厂燃煤管理系统的运行特点,提出了适合电厂运行的在线配煤优化模型。采用神经网技术对混煤的煤质参数进行预测,用改进的遗传算法对配煤方案进行求解。仿真实验证明,神经网络技术解决了加权平均法和经验公式法预测精度不高的问题。用遗传算法得到了符合生产实际的配煤问题的最优方案,确保了实时计算效率,有一定的工程实用价值。According to the characteristics of the coal management system of power plants, an online coal blending optimization model is established for plant operation. Mixed coal parameters are predicted by neural network. The coal blending problems are solved by improved genetic algorithm. Through analysis of simulation, neural network the defects of low predictable accuracy of the weighted average method and empirical formula are overcome. The optimal solution for coal blending is obtained with the genetic algorithm, which is consistent with the actual production situation. The coal blending model has real-time performance and practical value.

关 键 词：燃煤管理 配煤 神经网络 遗传算法 优化 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]