计及电解铝高耗能负荷调控和火电深调的高比例风电系统分层优化策略

Hierarchical Optimization Strategy of High-penetration Wind Power System Considering Electrolytic Aluminum Energy-intensive Load Regulation and Deep Peak Shaving of Thermal Power

对于高比例风电系统,风电出力典型的随机波动性和反调峰特性极大增加了其调峰负担,火电机组深度调峰虽已常态化,但系统调峰资源仍显不足,弃风问题有待解决。提出利用电解铝高耗能负荷(electrolytic aluminum energy-intensive load,EAL)作为新的调峰资源参与电网调度。首先,根据电解铝高耗能负荷的真实生产调节特性,耦合电流、温度及产量等多种因素,建立电解铝负荷参与电网调峰的精细化调节模型;然后,结合火电机组深度调峰模型,以系统弃风量最小和运行成本最小为目标,建立电解铝负荷和火电深调联合调峰的分层优化模型;最后以某实际区域系统为例,采用商业优化软件GUROBI进行求解分析,验证了所提方案可大幅减少系统弃风量,改善系统调峰运行经济性,并优化了火电机组深度调峰结构和发电经济性。

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.