基于改进黏菌算法的混烧机组燃料负荷优化分配  

Optimal Allocation of Fuel and Load for Co-Firing Units Based on Improved Slime Mould Algorithm

作　　者：孙宇贞 王磊 邓敏慧 彭道刚 邱谦 SUN Yuzhen;WANG Lei;DENG Minhui;PENG Daogang;QIU Qian(College of Automation Engineering,Shanghai University of Electric Power,Shanghai 200090,China;Power Plant of Baoshan Iron&Steel Co.,Ltd.,Shanghai 201900,China)

机构地区：[1]上海电力大学自动化工程学院,上海200090 [2]宝山钢铁股份有限公司电厂,上海201900

出　　处：《锅炉技术》2025年第2期7-13,22,共8页Boiler Technology

基　　金：上海市“科技创新行动计划”高新技术领域项目(22511103800)。

摘　　要：为解决钢铁企业自备电厂机组燃料与负荷分配的问题,综合考虑煤气系统与锅炉热力系统平衡,建立混烧机组的发电成本模型,以全厂经济收益最高为目标函数,考虑机组的出力约束和燃料上下限约束,并提出了一种改进的黏菌优化算法,该算法能够有效地进行宽负荷范围内的机组燃料与负荷优化分配计算。以某钢铁企业自备电厂典型工况为例进行算例分析,结果表明:在给定调度指令和待消纳煤气量的情况下,利用改进的黏菌算法进行优化,可以在确保副产煤气全消纳的基础上,提高机组在不同负荷下的经济性。In order to address the issue of load allocation in multi-fuel units of self-owned power plants in the steel industry,comprehensively considering the balance between the gas system and the boiler thermal system,a power generation cost model for co-firing units in a specific plant has been established.The objective function of the model is to maximize the overall economic benefits of the whole plant,taking into account the output constraints and fuel limits of the units.Additionally,an improved slime mold optimization algorithm is proposed to effectively performs fuel and load optimization calculations within a wide load range.A case study is conducted using typical operating conditions of a self-owned power plant in the steel industry,and the results show that,under given dispatch instructions and the required gas consumption,utilizing the improved slime mold algorithm for optimization can improve the economic efficiency of the units at different loads while ensuring complete utilization of by-product gas.

关 键 词：改改进黏菌优化算法 多燃料混烧机组 负荷特性 负荷优化分配 燃料分配 

分 类 号：TK223.7[动力工程及工程热物理—动力机械及工程]