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基于改进花粉算法的多能联供系统多目标实时调度优化

Multi-objective real-time scheduling optimization study of multi-energy supply system based on improved flower pollination algorithm
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摘要 针对多能联供系统负荷需求变动频繁、实时调度困难的情况,本文以某热-电-压缩空气联产机组为研究对象,建立多能联供系统实时优化调度模型,模型满足高、低压压缩空气和中、低压蒸汽供热需求的约束条件。实时优化调度兼顾经济性与环保性,基于层次分析法将煤耗成本、碳排放量和污染物排放量多目标融合作为寻优目标。考虑到花粉算法后期收敛速度慢,提出一种花粉算法分别改进种群初始化方式、切换概率设置、自花授粉变异机制。最后完成实时数据的仿真计算,结果表明:改进的花粉算法更容易快速搜索到较好的解。典型日计算结果预估:采用优化调度可节约煤量约6900 t/a,CO_(2)减排量约13700 t/a,污染物减排量约3 t/a,这表明依照本文算法调度有利于机组清洁高效运行。 To address the dynamic load demands and complexities of real-time scheduling in multi-energy supply systems,a real-time optimal scheduling model has been developed and verified using a heat-electricity-compressed air cogeneration unit.This model accounts for the constraints of high-pressure and low-pressure compressed air,as well as medium-pressure and low-pressure steam heating demands.The real-time optimization scheduling concurrently addresses economic and environmental concerns by integrating multiple objectives,including coal consumption cost,carbon emissions,and pollutant emissions,using the analytic hierarchy process as the optimization target.Considering the slow convergence speed of the flower pollination algorithm in later stages,an improved flower pollination algorithm is proposed to enhance population initialization,switching probability setting,and self-pollination variation mechanisms.Simulation calculations using real-time data demonstrate that the improved algorithm efficiently searches for optimal solutions.The estimated results for typical days indicate that the proposed method can save approximately 6900 tons of coal annually,reduce CO_(2) emissions by 13700 tons,and decrease pollutant emissions by around 3 tons.These findings illustrate that the proposed method is conducive to the clean and efficient operation of multi-energy supply units.
作者 李蔚 肖颖 冯宏 洪钦 胡一鸣 LI Wei;XIAO Ying;FENG Hong;HONG Qin;HU Yiming(College of Energy Engineering,Zhejiang University,Hangzhou 310027,China;Tongxiang Taiaisi Environmental Protection Energy Co.,Ltd.,Tongxiang 314500,China)
出处 《哈尔滨工程大学学报》 北大核心 2025年第9期1801-1808,共8页 Journal of Harbin Engineering University
基金 国家重点研发计划(2019YFE0126000).
关键词 改进花粉算法 多目标 实时优化调度 多能联供系统 碳排放 层次分析法 煤耗成本 EBSILON模型 improved flower pollination algorithm multi-objective real-time optimal scheduling multi-energy supply system carbon emission analytic hierarchy process coal consumption EBSILON model
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