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考虑管网热延迟特性的热源调度优化

Heat Source Scheduling Optimization Considering Thermal Delay Characteristics of Pipe Network
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摘要 为了提高能源利用率,改善用户供热体验,本文提出了热源温度变化的非稳态热力优化(Con1)、单一热源温度的非稳态热力优化(Con2)、考虑时延及其离散度的准稳态优化(Con3) 3种热源调度优化方法,以改善调度优化时集中供热管网的热延迟特性,并以某市一次热网为例,对3种优化方法的优化效果进行分析。结果表明:Con2的总能耗费用最高且热力站满意度最低;Con3相比Con1热力站满意度仅偏低1.0%且总能耗费用仅高43.05元/h,优化得到的热源供水温度结果偏差在1℃以内,Con3计算效率显著提高;Con3可对热源供水温度及流量进行快速优化,并使总能耗费用节省452元/h,热力站满意度提升7.4%,优化效果良好。 In order to improve energy efficiency and user heating experience,in this paper,three heat source scheduling optimization methods were proposed,including unsteady thermal optimization(Conl)for heat source temperature variation,unsteady thermal optimization(Con2)for single heat source tem-perature,and quasi-steady state optimization(Con3)considering delay and dispersion.In order to im-prove thermal delay characteristics of central heating pipe network during scheduling optimization,taking the primary heating network of a city as an example,the optimization effect of the three optimization methods was analyzed.The results show that the total energy consumption cost of Con2 is the highest and the satisfaction of heat station is the lowest.Compared with Conl,the satisfaction of Con3 is only 1.0%lower and the total energy consumption cost is only 43.05 yuan/h higher.The deviation of the optimized heat source water supply temperature is less than 1 C.At the same time,the computational efficiency of Con3 is significantly improved.In summary,method Con3 can rapidly optimize the temperature and flow rate of heat source water supply,save the total energy consumption cost per hour by 452 yuan,and in-crease the satisfaction of the heat station by 7.4%,which has a good optimization effect.
作者 杨光 乔帆 王海 YANG Guang;QIAO Fan;WANG Hai(School of Mechanical Engineering,Tongji University,Shanghai,China,200092)
出处 《热能动力工程》 CAS CSCD 北大核心 2024年第10期140-147,共8页 Journal of Engineering for Thermal Energy and Power
基金 国家重点研发计划—国际合作“基于数字孪生的供热系统全网动态优化及低碳智慧调控关键技术研究”(2021YFE0116200)。
关键词 热延迟特性 热源调度优化 非稳态热力 时延离散度 遗传算法 thermal delay characteristics heat source scheduling optimization unsteady heat delay dispersion genetic algorithm
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