A multi-level vehicle-to-grid optimal scheduling approach with EV economic dispatching model. (November 2021)

• Record Type: Journal Article
• Authors: Guo, Song; Qiu, Zejing; Xiao, Chupeng; Liao, Hui; Huang, Yuping; Lei, Ting; Wu, Dan; Jiang, Qian
• Is Part Of: Energy reports. Volume 7(2021)Supplement 7
• Page Start: 22
• Page End: 37
• Publication Date: 2021-11
• Subjects: Electric vehicle -- V2G operation -- Multi-level scheduling approach -- EV economic dispatching -- Mixed integer nonlinear programming; Power resources -- Periodicals; Energy industries -- Periodicals; Power resources; Periodicals; Electronic journals; 621.04205
• DOI: 10.1016/j.egyr.2021.10.058
• Languages: English
• ISSNs: 2352-4847

Abstract

Abstract: As electric vehicles (EVs) are eco-friendly and have the feature of flexible power storage, the electric vehicle development is strongly supported by many governments. The market share of EVs has been rising steadily in recent years to promote the long-term growth of the available EV battery resources to participate in vehicle to grid (V2G). When a large number of electric vehicles can connect to grids randomly for charging or discharging, this inevitably brings large load fluctuation in regions and new challenges to the operation scheduling and control of power systems. Therefore, this paper proposed a new multi-level optimal V2G scheduling approach, ensuring the smooth operation and control from the V2G control center to the EV users. This paper also introduced a new EV economic dispatch optimization model to minimize the operating costs of regional V2G systems. A case analysis of the IEEE 33-bus system with 100 EVs verified the feasibility of the proposed model and indicated that the proper size control of total EV battery capacities with ramp adjustment can reduce additional load fluctuations caused by large-scale vehicles to grid. Moreover, the multi-stage TOU pricing mode is another effective measures that can trigger a next round of EV charging and discharging service.