Optimization of New Energy Mining Trucks Scheduling for Open-pit Mines Based on Peak and Valley Energy Costs
With the implementation of the national"dual-carbon"strategic target and the transformation of traditional mines into green and intelligent mines,a new energy mining trucks scheduling optimization method considering peaks and val-leys of the electricity price is proposed for open-pit mines.It takes into account the characteristics of energy recovery of new en-ergy mining trucks and the discrepancy in charging costs at different times.Firstly,combined with the fluctuation of mining trucks charging price and the change of road gradient,a multi-objective optimization model is established to minimize energy cost,minimize waiting time and maximize ore transportation volume.The peak and valley charging time of the new energy min-ing trucks are planned more reasonably,and the energy cost is saved through the regenerative braking and recycling of energy.Secondly,according to the complexity of the scheduling model of the new energy mining trucks and the characteristics of the multiple optimization parameters,an improved reverse learning differential evolution algorithm based on the non-dominated sor-ting is constructed.While quickly solving the multi-objective model scheduling scheme,it improves the convergence ability of the optimal solution of the algorithm.Finally,a large open-pit mine in North China is used as an example for practical simula-tion application,and a comparative analysis of the scheduling scheme is carried out with the traditional classical intelligent evo-lutionary solving algorithm.The application results show that the method can quickly get a satisfactory solution for the current shift trucks scheduling,and significantly reduce the energy cost of saving the production and transportation of new energy min-ing trucks.It realizes the purpose of cost reduction and efficiency upgradation,also provides a theoretical basis for the populari-zation and application of new energy mining trucks.
open-pit mine schedulingnew energy mining cardpeak and valley electricity pricesdifferential evolutionenergy recovery
万方数据
维普
