A Low Carbon Economic Scheduling Method of Cogeneration System Based on Memetic Algorithm

To improve the flexibility of the cogeneration system, reduce carbon emission and promote the grid-connected consumption of wind power, carbon capture technology, energy storage technology, and demand response mechanism are introduced into the system. Firstly, the structure and operation principle of the cogeneration system is described. Secondly, aiming at the minimum operating cost and the minimum carbon emission of the system, a low-carbon economic scheduling model of the cogeneration system is established. Then, according to the model characteristics and scheduling needs, the memetic algorithm is used to directly solve the Pareto front of low-carbon economy scheduling. The search process, parameter setting, algorithm evaluation, and intelligent decision-making are designed. Finally, the effectiveness of the proposed scheme is proved by comparing the simulation results of the system before and after improvement and similar algorithms. The simulation results show that carbon capture device, energy storage device, and demand response can enhance system scheduling flexibility and improve system operation efficiency. The memetic algorithm combines the global evolution of the population with local search, which can effectively avoid falling into local optimum and has a better optimization effect in solving.