Abstract

Due to the rapid increase in electric vehicles (EVs) globally, new technologies have emerged in recent years to meet the excess demand imposed on the power systems by EV charging. Among these technologies, a mobile energy storage system (MESS), which is a transportable storage system that provides various utility services, was used in this study to support several charging stations, in addition to supplying power to the grid during overload and on-peak hours. Thus, this paper proposes a new day-ahead optimal operation of a single MESS unit that serves several charging stations that share the same geographical area. The operational problem is formulated as a mixed-integer non-linear programming (MINLP), where the objective is to minimize the total operating cost of the parking lots (PLs). Two different case studies are simulated to highlight the effectiveness of the proposed system compared to the current approach.

Highlights

  • The distribution grid faces various challenges and obstacles due to the increase in the number of distributed generation (DG) units, such as wind and solar, in addition to the failure to meet growing demand for electric power, especially in urban areas

  • The need for energy storage systems (ESSs) units is clearly evident at locations that rely on renewable energy sources (RESs) due to their intermittent nature

  • The ability of the mobile energy storage system (MESS) to move between different locations and supply multiple loads at different times helps to reduce the power drawn from the grid

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Summary

A Mobile Energy Storage Unit Serving Multiple EV

Mohamed M. Elmeligy 1, * , Mostafa F. Shaaban 1, * , Ahmed Azab 2 , Maher A. Azzouz 3 and Mohamed Mokhtar 4 Citation: Elmeligy, M.M.; Shaaban, M.F.; Azab, A.; Azzouz, M.A.; Mokhtar, M. A Mobile Energy Storage Stations. Energies 2021, 14, 2969. Department of Electrical Engineering, American University of Sharjah, Sharjah P.O. Box 26666, United Arab Emirates

Introduction
Problem Statement
Assumptions
Problem Formulation
Problem Formulation grid
EVs Charging Constraints
Mobile Storage Modeling
Decision Variables Constraints
Case Studies
Case Study-1
Case Study-2
In case
Findings
Conclusions
Full Text
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