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