Research on variable condition double-layer collaborative optimization of combined cooling,heating,and power systems
ZOU Meng-ting
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%.
Keywords：CCHPdouble-layer collaborative optimizationeconomic
Publication Date：2024-06-15
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：3( 29-31 )