Collaborative Optimization Scheduling of Coupled Power-Traffic System in Mining Areas Considering Time-of-Use Price

With the proposal of "double carbon" goal and the advancement of electrification of mining equipment, electric dump trucks will gradually replace the traditional oil dump trucks in mining areas. At the same time, the charging behavior of electric dump trucks makes it no longer suitable for the traditional scheduling mode. In this paper, a collaborative scheduling method for the coupled power-traffic systems in mining areas considering time-of-use price is proposed, where the scheduling model is constructed. The effectiveness of the proposed method is verified by an example simulation of a medium-sized open-pit coal mine, and the results show that the proposed method can not only reduce the electricity cost, but also help improve peak cutting and valley filling for the power grid. Moreover, considering the stripping ratio, the proposed method can significantly reduce the demand for soil discharge and thus reduce the cost for the proprietor.