一种基于模拟退火算法的异种煤质掺配优化方法

An Optimization Method of Heterogeneous Coal Blending Based on Simulated Annealing Algorithm

为解决火电厂在燃煤采购时所面对的煤种多样化、不同煤种的特性偏差大的问题,提出了一种基于模拟退火算法的异种煤质掺配优化方法,以异种煤质掺配后逼近预先定义的煤质化学指标为优化目标,提出了异种煤质掺配的优化方法,在某大型火电厂上的真实数据集进行了验证,充分说明了本方法的有效性和准确性。

In order to solve the challenge of coal variety and large deviation of different coal characteristics when purchasing coal in thermal power plants,an optimization method of heterogeneous coal blending based on simulated annealing algorithm is proposed in this paper.The optimization objective is to approach the pre-defined coal chemical index after heterogeneous coal blending,and the optimization method of heterogeneous coal blending is proposed.The method is verified on a real data set of a large thermal power plant,which fully shows the effectiveness and accuracy of the method.