Optimal Management of Mobile Battery Energy Storage as a Self-Driving, Self-Powered and Movable Charging Station to Promote Electric Vehicle Adoption
| Autor: | Shahram Jadid, Hedayat Saboori, Mehdi Savaghebi |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Battery (electricity)
Control and Optimization business.product_category Computer science 020209 energy distribution network operation mobile battery energy storage system Energy Engineering and Power Technology plug-in electric vehicle 02 engineering and technology Distribution network operation charging cost minimization lcsh:Technology Automotive engineering Charging cost minimization Charging station Fixed charging station Hardware_GENERAL Transfer (computing) Mobile station Electric vehicle 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Engineering (miscellaneous) Renewable Energy Sustainability and the Environment business.industry lcsh:T 021001 nanoscience & nanotechnology mobile charging station Power (physics) fixed charging station Mobile battery energy storage system Electricity Plug-in electric vehicle 0210 nano-technology business Mobile charging station Energy (signal processing) Energy (miscellaneous) |
| Zdroj: | Energies, Vol 14, Iss 736, p 736 (2021) Saboori, H, Jadid, S & Savaghebi, M 2021, ' Optimal Management of Mobile Battery Energy Storage as a Self-Driving, Self-Powered and Movable Charging Station to Promote Electric Vehicle Adoption ', Energies, vol. 14, no. 3, 736 . https://doi.org/10.3390/en14030736 Energies; Volume 14; Issue 3; Pages: 736 |
| ISSN: | 1996-1073 |
| DOI: | 10.3390/en14030736 |
| Popis: | The high share of electric vehicles (EVs) in the transportation sector is one of the main pillars of sustainable development. Availability of a suitable charging infrastructure and an affordable electricity cost for battery charging are the main factors affecting the increased adoption of EVs. The installation location of fixed charging stations (FCSs) may not be completely compatible with the changing pattern of EV accumulation. Besides, their power withdrawal location in the network is fixed, and also, the time of receiving the power follows the EVs’ charging demand. The EV charging demand pattern conflicts with the network peak period and causes several technical challenges besides high electricity prices for charging. A mobile battery energy storage (MBES) equipped with charging piles can constitute a mobile charging station (MCS). The MCS has the potential to target the challenges mentioned above through a spatio-temporal transfer in the required energy for EV charging. Accordingly, in this paper, a new method for modeling and optimal management of mobile charging stations in power distribution networks in the presence of fixed stations is presented. The MCS is powered through its internal battery utilizing a self-powered mechanism. Besides, it employs a self-driving mechanism for lowering transportation costs. The MCS battery can receive the required energy at a different time and location regarding EVs accumulation and charging demand pattern. In other words, the mobile station will be charged at the most appropriate location and time by moving between the network buses. The stored energy will then be used to charge the EVs in the fixed stations’ vicinity at peak EV charging periods. In this way, the energy required for EV charging will be stored during off-peak periods, without stress on the network and at the lowest cost. Implementing the proposed method on a test case demonstrates its benefits for both EV owners and network operator. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|