针对输煤系统中带式输送机和环锤式破碎机的串联耦合特性，将两者作为整体，研究其能源效率优化。在建立两者能耗模型基础上首先提出了能源效率的开环优化，然后引入模型预测控制思想建立了能效闭环优化策略。以实际电厂输煤系统为例进行了仿真研究。结果表明：与开环优化相比，基于模型预测控制的闭环优化能有效补偿煤耗率预测干扰、输送机装载量干扰及破碎机入料粒度干扰带来的影响，在满足各种约束同时提升能源效率，具有较好的鲁棒性和现场适应性。

Belt conveyors and crushers are the key components of coal conveying systems in power stations, and they are always serially coupled. Consequently, it is reasonable to take them as a whole for energy efficiency optimization. In this paper, the energy consumption models of belt conveyor and ring hammer crusher are firstly built. Then, an open loop optimization strategy is formulated for coal conveying systems consisting of belt conveyors and ring hammer crusher. Thirdly, model predictive control is introduced to form a closedloop energy efficiency optimization strategy. A coal conveying system in a power station is employed as a verification case study. The results show that unlike the open loop optimization the closed-loop energy efficiency optimization strategy is capable of dealing with the disturbances from coal consumption forecast, loading rate of the conveyors and feeding size of the crusher. The closed loop optimization can considerably improve the energy efficiency of the whole coal conveying system while satisfying all the constraints. Its robustness and filed adaptability is demonstrated through the comparative studies.

TM621

国家自然科学基金 (51475337)