A new optimization model of CCHP system based on genetic algorithm

How to decide the capacity of power generation unit (PGU) and chiller properly has always been one of the difficulties in the design of combined cooling, heating and power (CCHP) system. This paper presents an optimal mathematical model of the annual hourly dynamic simulation in CCHP system. Combining the genetic algorithm of multi-objective optimization, the model gives the optimal installed capacity of PGU and the optimal installed proportion of absorption chiller. The optimization model is verified by a completed project in Changsha, China, to have good practicability, and the multi-objective genetic algorithm has good mull-index compatibility. And the impact of gas and the electricity prices on the project is given quantitatively, pointing out that the natural gas price has little effect on the optimal installed capacity.