Abstract: In order to improve the profit, reduce the shutdown loss and enhance the environment benefit, an optimization model of petrochemical energy manage system is established based on improved parallel moth flame optimization algorithm (IPMFOA). Firstly, the petrochemical energy management system optimization model is constructed, and the object function and constraint condition are confirmed. Secondly, an Grey-IPMFOA is established. Finally, an energy management system of refinery in a petrochemical company is selected as research object to carry out optimization analysis based on proposed Grey-IPMFOA and other three optimization algorithms, results show that proposed optimization can get best optimal effect and highest optimal efficiency. In addition, proposed Grey-IPMFOA has better convergence performance and computation complexity. The energy management system after optimization has high profit, low shutdown loss and high environment benefit. 

Key words: Petrochemical energy management optimization system, Grey-improved parallel moth flame optimization algorithm, Computational complexity, Convergence performance