基于PE-ANGO 的矿山主运输系统能源成本优化OA

Aiming at the problem of high energy consumption and low efficiency of mine main transportation system,the PE-NAGO method is employed to simultaneously optimize the material flow and speed of belt conveyors during peak,off-peak and off-peak periods.Based on the analysis of the working principle of the transportation system,an energy consumption cost model accurately describing the belt conveyor system is established by comprehensively considering the energy consumption of the mechanical power subsystem and the efficiency of the frequency converter,and introducing the electricity price coefficient.The basic principle of optimizing material flow and velocity during peak,flat and valley periods by the Adaptive Northern Goshawk Optimization Algorithm(PE-ANGO)enhanced based on prior knowledge is given.The optimization results show that optimizing traffic and speed in different periods based on PE-ANGO,taking into account expert experience,can significantly improve the optimization speed.When the system operates at the optimal time-based flow and speed,the unit electricity price drops significantly,and as the total daily traffic volume decreases,the advantage of reducing energy costs becomes more obvious.