A Master of Science thesis in Electrical Engineering by Mohamed Mostafa Abdelazim Elmeligy entitled, “Optimal Dispatch of Mobile Energy Storage Unit to Support EV Charging Stations”, submitted in April 2021. Thesis advisor is Dr. Mostafa Shaaban. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).
As transportation electrification increases globally, new technologies emerged in the past few years to meet the growth of the electricity demand. A mobile energy storage system (MESS) could provide several services to the distribution systems such as reactive power support, renewable energy integration, peak shaving, and load leveling. In addition, an MESS can be utilized to support electric vehicles (EVs) charging in different parking lots (PLs), which is the main focus of this thesis. The task of multiple stationary storage units can be achieved using a single MESS with a relatively lower cost. In this thesis, a new dynamic optimal dispatch strategy for MESS is proposed to support several charging stations sharing the same geographical area. The objective of the proposed approach is to optimally dispatch the MESS in conjunction with optimal EVs charging to minimize the total operation cost and address the extra demand of PLs. Different case studies are provided on the IEEE 38-bus system and a real radial feeder in Ontario, Canada to test the proposed approach. In the second phase of this research, a new approach is proposed for the optimal resource allocation for an MESS fleet owned by multiple PLs sharing the same geographical area and sharing its capital and operational cost. The aim is to optimally decide on the number of MESSs and their battery bank capacities that should be used in order to serve charging stations participated in the project. The optimization includes practical constraints for battery dynamics. Comparative case studies showed the effectiveness of the proposed algorithms.