Optimal Operational Planning of Utility Systems in Petrochemical Plants Using an Improved Particle Swarm Optimization Algorithm

Advanced Materials Research (Volumes 143 - 144), Pages 1364-1369

Optimal Operational Planning of Utility Systems in Petrochemical Plants Using an Improved Particle Swarm Optimization Algorithm

Wen Zhi Dai, Zhao Yi Huo, Hong Chao Yin, Hai Feng Liang

Abstract

The operation optimization problem for utility systems is formulated and a mixed integer linear program (MILP) model is presented.

The objective function of the model is to minimize the operational cost of utility systems during the whole operational period. In order to obtain the optimal solution of the foregoing model, an improved particle swarm optimization is proposed. A case with quantitative results illustrates the advantage of proposed optimization approach. Results show that the new algorithms are much more efficient than some existing particle swarm optimization algorithms.

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