Abstract: As the share of renewable energy installations grows in China and the characteristics of electricity demand evolve, the imbalance between generation and load has increased the the difficulty in renewable energy accommodation. Focusing on wind-rich northwest China region with concentrated electrolytic aluminum enterprises, we examines the promoting effect of aluminum smelters on renewable energy accommodation from the perspectives of demand response incentives and coordinated generation-load interaction optimization. A dual-layer rolling optimization dispatch method for power systems is proposed, incorporating pricing strategies that consider aluminum smelter load demand response. Firstly, the characteristics of aluminum smelter loads and wind power output are analyzed, utilizing a scenario generation method based on the Weibull distribution to forecast wind power output. Secondly, a grid-aluminum smelter dual-layer planning model is established, aiming to aggregate and allocate regional response power, balance benefits among stakeholders and enhance the power system's integration capacity while ensuring operational safety on both sides of generation and load. Thirdly, a dynamic pricing strategy and a coordinated scheduling framework based on the above model are proposed to achieve demand-response dynamic pricing and flexible control of aluminum smelter loads. Finally, taking into account the intraday and seasonal fluctuations of wind power generation and electricity load, along with seasonal time-of-use tariffs, case studies are conducted on an improved IEEE-30 bus system. The investigation of these studies assists in analyzing scenarios and comparing outcomes, thereby validating the feasibility of the proposed demand response dynamic pricing and coordinated scheduling strategies.