Algorithmic evaluation demonstrates multi-dimensional peak-shaving potential across battery swapping stations, suggesting enhanced demand response strategies for power grid regulation.
Electric power demand response is an indispensable way to alleviate the pressure on the power system’s supply service and optimize energy utilization. Battery swapping stations (BSSs) feature flexible energy storage resources and a certain degree of autonomy in their charging behaviors, conferring them with certain advantages in participating in the process of power grid regulation. If considering the participation of BSSs in an organized regulation as a means of grid adjustment to formulate a reasonable regulatory strategy, it is imperative to evaluate the potential for different BSSs to participate in grid regulation. Accordingly, commencing by collecting operational data related to these stations, this paper analyzes the key influencing factors for BSSs to participate in demand response for grid peak shaving from dimensions such as their service capacities, swapping demands, and tunable charging loads. This involves constructing a comprehensive evaluation system for the multi-dimensional peak-shaving potential of BSSs and developing corresponding algorithmic models. The aim is to identify and determine the tunability characteristics of BSS resources in peak shaving scenarios within the grid, thereby providing support for the precise formulation of demand response strategies.
No takes yet. Share an insight, caveat, or question.
Han et al. (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: