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
邹梦婷1
作者信息
- 1. 中工武大能源建设投资(湖北)有限公司,湖北 武汉 410000
- 折叠
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.
Abstract
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Key words
CCHP/double-layer collaborative optimization/economic引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据