Source-load Coordinated Optimal Scheduling in Stochastic Unit Commitment Considered Electrolytic Aluminum Load and Wind Power Uncertainty

Abstract

This paper studies the stochastic unit commitment and explore the potential of the electrolytic aluminum load to take part in demand response(DR) with the aim of carbon peaking and carbon neutrality goals. Wind power has trouble in consumption as its uncertainty and the regulation capacity of traditional thermal power are limited, meanwhile, the electrolytic aluminum load has great potential to be a flexible demand-side resource. This paper establishes a detailed model of the electrolytic aluminum and the optimal scheduling method proposed in this paper can consider uncertainty well. This paper evaluates the proposed optimal scheduling method by using the modified IEEE 39-bus testing system, and the participation of electrolytic aluminum in DR will reduce wind power curtailment as shown in the results. This paper provides help for electrolytic aluminum enterprises to participate in DR.