Optimization Algorithm of Mine Ventilation Based on SA-IPSO

Authors

Liangshan Shao, 1. Liaoning Technical University Institute of Systems Engineering, Huludao 125105, China; ;2. School of Software, Liaoning Technical University, Huludao, 125105, China;
Wang Zhen, 1. Liaoning Technical University Institute of Systems Engineering, Huludao 125105, China; ;2. School of Software, Liaoning Technical University, Huludao, 125105, China;
Changming Li, 1. Liaoning Technical University Institute of Systems Engineering, Huludao 125105, China; ;2. School of Software, Liaoning Technical University, Huludao, 125105, China;

Abstract

Abstract: A non-linear optimization mathematical model aiming at the minimum total power of the mine ventilation network is established, in which SA-IPSO algorithm is applied for the optimization. The mutation operation is introduced in the PSO algorithm, in which a new inertia weight is proposed and a new particle selection method is constructed to control the number of particles violating the constraints, and the ability of the PSO algorithm to find boundaries is improved. The constraint conditions of the mine ventilation law are transformed into the penalty term of the objective function. IPSO optimizes the objective function and uses SA to achieve the global optimum. The simulation experiment of Xintun Mine shows that the algorithm can reduce the total energy consumption of ventilation by 95.69Kw while the air volume can meet the demand.

Recommended Citation

Shao, Liangshan; Zhen, Wang; and Li, Changming (2021) "Optimization Algorithm of Mine Ventilation Based on SA-IPSO," Journal of System Simulation: Vol. 33: Iss. 9, Article 10.
DOI: 10.16182/j.issn1004731x.joss.20-0403
Available at: https://dc-china-simulation.researchcommons.org/journal/vol33/iss9/10

First Page

2085

Revised Date

2020-08-24

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.20-0403

Last Page

2094

CLC

TP391;X936

Recommended Citation

Shao Liangshan, Wang Zhen, Li Changming. Optimization Algorithm of Mine Ventilation Based on SA-IPSO[J]. Journal of System Simulation, 2021, 33(9): 2085-2094.

DOI

10.16182/j.issn1004731x.joss.20-0403