A novel reservation-based charging strategy considering carbon quota incentives

Abstract

In this paper, taking electric taxis (ETs) as the research subject, the application of individual carbon trading mechanism in ET scheduling is taken into consideration, and a reservation charging strategy that considers default situations is proposed. Firstly, a market mechanism is proposed for ETs to participate in the joint electricity-carbon market. Then, according to ET charging scenarios, a reservation charging mechanism and the criteria on default judging are suggested. Finally, based on the demands for ETs taking part in the carbon emission market, an optimization model is constructed with the aim of minimizing total charging costs and maximizing charging satisfaction. Additionally, a multi-strategy hybrid sparrow search algorithm is employed to solve the proposed model. Examples indicate that the suggested charging optimization model can regulate the charging load distribution while simultaneously reducing ET charging costs and carbon emissions.