锅炉技术2025，Vol.56Issue(2)：7-13,22,8.
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
摘要
Abstract
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 o-verall economic benefits of the whole plant,taking into account the output constraints and fu-el limits of the units.Additionally,an improved slime mold optimization algorithm is pro-posed 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 re-quired gas consumption,utilizing the improved slime mold algorithm for optimization can im-prove the economic efficiency of the units at different loads while ensuring complete utilization of by-product gas.关键词
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Key words
improved slime mould algorithm/multi-fuel co-firing units/load characteris-tics/load optimal distribution/fuel distribution分类
能源与动力引用本文复制引用
孙宇贞,王磊,邓敏慧,彭道刚,邱谦..基于改进黏菌算法的混烧机组燃料负荷优化分配[J].锅炉技术,2025,56(2):7-13,22,8.基金项目
上海市"科技创新行动计划"高新技术领域项目(22511103800) （22511103800）
