基于遗传算法热电冷联产系统多目标方案优化

根据用户全年冷、热、电负荷设计冷热电三联产系统方案并实现优化运行是决定联产系统经济性的关键．建立了以一次能源节约率、净现值和CO：排放量为优化目标，以冷热电三联产系统中主要设备容量为决策变量的多目标优化模型，同时运用实数编码遗传算法进行优化计算，得到了“以电定热”和“以热定电”2种不同运行模式下的冷热电三联产系统优化设计方案．

Multi-objective schematic optimization of CCHP with genetic algorithm

The economic performance of Combined Cooling ,Heating and Power（CCHP） system is determined by op- timum schematic design and operation strategy according to cooling, heating and electricity load of users. The paper es- tablishes multi-objective optimization model with primary energy saving ratio, net present value and carbon dioxide e- mission as objective function, main components capacities as decision variables. The optimal system schemes are gained by real-coded genetic algorithm under following electricity and following thermal operation strategy separately.