A two-stage electric vehicles scheduling strategy to address economic inconsistency issues of stakeholders

As a promising mobility tool in future transportation systems, Electric Vehicle (EV) has environment-friendly benefits compared with traditional internal-combustion-engine vehicle. However, uncoordinated charging of mass EVs bring huge burden to power grids. To tackle this problem, a coordinated charging strategy of EVs is necessary. EV aggregator could play as a coordinator between EV owner and power grids, both meeting owner driving requirements and power grids operation requirements. However, a owner-Aggregator economic inconsistency issue appears, that is EV owner get a higher charging cost in aggregator scheduling than self scheduling. In order to mediate owner-Aggregator economic inconsistency issue, this paper designed a centralized two-stage EVs charging/discharging scheduling strategy in a residential community within 24 hours from the viewpoint of two stakeholders: EV owners (to minimize each EV owner charging cost) and aggregator (to maximize aggregator revenue). In the first-stage, EVs operation are scheduled from EV owners viewpoint, to obtain the minimal charging cost for each EV owner. Then, in the second-stage, the scheduling results in the first-stage are involved as constraints. The objective in the second-stage is to maximize aggregator revenue, without sacrificing each EV owner's economic benefit (no charging cost increment). A rebate factor is introduced in this model, which is the pay back for each EV owner provided by aggregator. Case study shows the effectiveness of the proposed scheduling strategy: The aggregator revenue is maximized without sacrificing each EV owner's economic benefit so that owner-Aggregator economic inconsistency issue is mediated. The impact parameter of rebate factor in aggregator revenue in analyzed.