冷热电联供系统的变工况双层协同优化研究  

Research on variable condition double-layer collaborative optimization of combined cooling,heating,and power systems

作　　者：邹梦婷 ZOU Meng-ting

机构地区：[1]中工武大能源建设投资(湖北)有限公司,湖北武汉410000

出　　处：《节能》2024年第6期29-31,共3页Energy Conservation

摘　　要：以冷热电联供系统(CCHP)的逐时供需关系为基础,构建经济性评价指标,采用枚举法与遗传算法相结合的双层协同运算方法优化系统配置容量,提出合理的内燃机配置方案。结果表明,经过双层协同优化的冷热电联供系统具有明显的经济优势,年总成本节约率提升至69.87%,同时减小了内燃机启动负荷,延长了26.47%的运行时间。Based on the hourly supply and demand relationship of the combined cooling,heating,and power(CCHP)system,an economic evaluation index is constructed.A double-layer collaborative operation method combining enumeration and genetic algorithms is used to optimize the system's configuration capacity,proposing a reasonable internal combustion engine configuration plan.The results show that the CCHP system,after double-layer collaborative optimization,has a significant economic advantage,with the annual total cost saving rate increased to 69.87%.At the same time,it reduces the starting load of the internal combustion engine and extends the operating time by 26.47%.

关 键 词：冷热电联供系统 双层协同优化 经济性 

分 类 号：TM61[电气工程—电力系统及自动化]