Optimized Operational Cost Reduction for an EV Charging Station Integrated With Battery Energy Storage and PV Generation

2019 ◽  
Vol 10 (2) ◽  
pp. 2096-2106 ◽  
Author(s):  
Qin Yan ◽  
Bei Zhang ◽  
Mladen Kezunovic
Keyword(s):  
Energy Storage ◽  
Cost Reduction ◽  
Operational Cost ◽  
Battery Energy Storage ◽  
Charging Station ◽  
Battery Energy ◽  
Pv Generation ◽  
Ev Charging

scholarly journals Optimal Management of Mobile Battery Energy Storage as a Self-Driving, Self-Powered and Movable Charging Station to Promote Electric Vehicle Adoption

Energies ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 736
Author(s):  
Hedayat Saboori ◽  
Shahram Jadid ◽  
Mehdi Savaghebi
Keyword(s):  
Energy Storage ◽  
Optimal Management ◽  
Battery Energy Storage ◽  
Charging Station ◽  
Demand Pattern ◽  
Self Powered ◽  
Battery Energy ◽  
Charging Stations ◽  
Ev Charging ◽  
Charging Demand

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.

scholarly journals A simple levelized cost of electricity for EV charging with PV and battery energy storage system: Thailand case study

2020 ◽  
Vol 11 (4) ◽  
pp. 2223
Author(s):  
Aree Wangsupphaphol ◽  
Surachai Chaitusaney
Keyword(s):  
Energy Storage ◽  
Storage System ◽  
Energy Storage System ◽  
Battery Energy Storage System ◽  
Levelized Cost Of Electricity ◽  
Battery Energy Storage ◽  
Charging Station ◽  
Levelized Cost ◽  
Battery Energy ◽  
Ev Charging

This paper proposes the calculation of the simple levelized cost of electricity of PV and battery energy storage system for supporting the investment decision of the EV hybrid charging station. The paper introduces the problems of EV charging against the grid power system. Thus, the hybrid charging for EV is suggested. The study provides an architecture of the hybrid EV charging station along with the factor impacting the EV infrastructure for acknowledgment. The cost elements of the station are presented to address the benefits of the investment. Besides, the profit is mainly from the margin of the electricity price, therefore, this study compares the electricity cost of PV and PV equipped with a battery with the commercial on-peak electricity tariff.  The results show that the charging cost contributed by PV alone has the lowest amount throughout the study period year 2020 – 2030. In contrast, the hybrid charging cost contributed by PV and battery has a higher value than the on-peak tariff during 2020 – 2025 but it is lower afterward. The result supports the feasibility of charging an EV by solar power and the hybrid power system in the future.

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