基于峰谷能耗成本的露天矿新能源矿卡调度优化

Optimization of New Energy Mining Trucks Scheduling for Open-pit Mines Based on Peak and Valley Energy Costs

随着国家“双碳”战略目标的实施和传统矿山向绿色化智能化矿山转型,针对新能源矿卡可进行能量回收、不同时间充电成本差异的特性,提出了一种考虑电价峰谷因素的露天矿新能源矿卡调度优化方法。首先,考虑矿卡充电电价波动、道路坡度变化等因素,构建了以能耗成本最小化、等待时间最小化、矿石运量最大化的多目标优化模型,更合理地规划了新能源矿卡的峰谷充电时间,并通过能量的再生制动与回收利用节约了能耗成本。其次,根据新能源矿卡调度模型复杂、优化参数多的特点,改进了基于非支配排序的反向学习差分进化算法。在快速求解多目标模型调度方案的同时,提高了算法最优解的收敛能力。最后,以华北某大型露天矿山为例进行了仿真应用,并与经典的智能进化模型求解算法进行了调度方案对比分析。应用结果表明:该方法能够快速得到当前班次车辆调度的满意方案,并大幅降低了新能源矿卡生产运输的能耗成本,实现了降本增效目的,也为新能源矿卡推广提供了理论依据和应用方案。

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 valleys of the electricity price is proposed for open-pit mines.It takes into account the characteristics of energy recovery of new energy 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 mining 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 sorting 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 simulation application,and a comparative analysis of the scheduling scheme is carried out with the traditional classical intelligent evolutionary 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 mining trucks.It realizes the purpose of cost reduction and efficiency upgradation,also provides a theoretical basis for the popularization and application of new energy mining trucks.