Hierarchical Optimization Strategy of High-penetration Wind Power System Considering Electrolytic Aluminum Energy-intensive Load Regulation and Deep Peak Shaving of Thermal Power
For high-penetration wind power systems,the typical stochastic fluctuations and anti-peak characteristics of wind power output significantly increase the peak-shaving burden.While deep peak shaving(DPS)of thermal power units has become commonplace,the system's peak-shaving resources still appear insufficient,and the wind curtailment issue awaits resolution.This article proposes to utilize electrolytic aluminum energy-intensive load(EAL)as a new peak-shaving resource to participate in power grid scheduling.Firstly,based on the real production regulation characteristics of the EAL,a refined regulation model for the participation of EAL in power grid peak-shaving is established,considering various factors such as current,temperature,and production.Secondly,combined with the deep peak shaving of thermal power units,an optimization model is formulated to minimize wind curtailment and operating costs.This model establishes a layered optimization framework for the joint peak-shaving of EAL and DPS of thermal power,enhancing the system's overall efficiency.Finally,using the commercial optimization software GUROBI and a practical regional system as an example,the proposed approach is validated to significantly reduce wind curtailment,improve the economic performance of system peak-shaving operations,and optimize the DPS structure and economic efficiency of thermal power units.
high-penetration wind powerelectrolytic aluminum energy-intensive load(EAL)thermal power deep peak shavingjoint peak-shavinghierarchical optimization
万方数据
维普
