Optimal Economic Dispatch of a Two-tier Wind-Powered Photovoltaic Fire Storage Industrial Park Considering Adjustable Aluminum Electrolysis

In order to improve the operation economy and renewable energy consumption capacity of industrial parks containing large-scale renewable energy, this paper proposes a two-layer economic optimization model based on adjustable aluminum flexible load. For the industrial park dominated by wind farms and photovoltaic power plants, a parallel upper and lower optimization framework is constructed: the upper layer takes the minimization of the total system operating cost (including the cost of wind and solar power abandonment penalties) as the goal, and coordinates the regulation of the electrolytic aluminum loads, the charging and discharging of the energy storage, and the operation of the thermal power units; and the lower layer achieves the minimization of the power generation cost through the optimal allocation of the thermal power unit power outputs and the optimization of the starting and stopping costs. Simulation results show that after the introduction of flexible load regulation for electrolysis and aluminum, the total operating cost of the system is reduced, the rate of renewable energy consumption is increased, and the source-load consistency index is optimized significantly. At the same time, thermal power units can reduce frequent startups and shutdowns and switch to cold standby mode to enhance system resilience under extreme weather. By coordinating high energy-carrying loads and renewable energy output, the method effectively improves the park's operating economy, wind and light consumption efficiency and grid flexibility, and provides theoretical support for the low-carbon transformation of energy-intensive industrial parks.