A Mobile Energy Storage Unit Serving Multiple EV Charging Stations

Elmeligy, Mohamed Mostafa Abdelazim; Shaaban, Mostafa F.; Azab, Ahmed; Azzouz, Maher A.; Mokhtar, Mohamed

doi:10.3390/en14102969

Cited by 5 publications

(2 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Research [351] proposed an optimal MBTs' dispatch based on a quantified function of EV demand prioritization demand considering several factors such as saturation of charging stations, distance, and socioeconomic indexes. The researchers in [352] formulated the day-ahead optimal operation of MBTs as a mixed-integer non-linear programming (MINLP) to serve multiple charging stations in meeting the EV demands during overload and on-peak hours.…”

Section: On-disaster Utilization Of Mbtsmentioning

confidence: 99%

Power System Resilience: The Role of Electric Vehicles and Social Disparities in Mitigating the US Power Outages

Loni,

Asadi

2024

Smart Grids and Energy

View full text Add to dashboard Cite

Electrical power systems with their components such as generation, network, control and transmission equipment, management systems, and electrical loads are the backbone of modern life. Historical power outages caused by natural disasters or human failures show huge losses to the economy, environment, healthcare, and people’s lives. This paper presents a systematic review on three interconnected dimensions of (1) electric power system resilience (2) the electricity supply for/through Electric Vehicles (EVs), and (3) social vulnerability to power outages. This paper contributes to the existing literature and research by highlighting the importance of considering social vulnerability in the context of power system resilience and EVs, providing insights into addressing inequities in access to backup power resources during power outages. This paper first reviews power system resilience focusing on qualitative and quantitative metrics, evaluation methods, and planning and operation-based enhancement strategies for electric power systems during prolonged outages through microgrids, energy storage systems (e.g., battery, power-to-gas, and hydrogen energy storage systems), renewable energy sources, and demand response schemes. In addition, this study contributes to in-depth examination of the evolving role of EVs, as a backup power supply, in enhancing power system resilience by exploring the EV applications such as vehicle-to-home/building, grid-to-vehicle, and vehicle-to-vehicle or the utilization of second life of EV batteries. Transportation electrification has escalated the interdependency of power and transportation sectors, posing challenges during prolonged power outages. Therefore, in the next part, the resilient strategies for providing electricity supply and charging services for EVs are discussed such as deployments of battery swapping technology and mobile battery trucks (MBTs), as well as designing sustainable off-grid charging stations. It offers insights into innovative solutions for ensuring continuous electricity supply for EVs during outages. In the section on social vulnerability to power outages, this paper first reviews the most socioeconomic and demographic indicators involved in the quantification of social vulnerability to power outages. Afterward, the association between energy equity on social vulnerability to power outages is discussed such as inequity in backup power resources and power recovery and restoration. The study examines the existing challenges and research gaps related to the power system resilience, the electric power supply for/through EVs, social vulnerability, and inequity access to resources during extended power outages and proposes potential research directions to address these gaps and build upon future studies.

show abstract

Section: On-disaster Utilization Of Mbtsmentioning

confidence: 99%

Power System Resilience: The Role of Electric Vehicles and Social Disparities in Mitigating the US Power Outages

Loni,

Asadi

2024

Smart Grids and Energy

View full text Add to dashboard Cite

show abstract

“…Hence, the EVs can operate as a prosumer for NGs, allowing dedicated home battery installation to be reduced with time [7]. A home owner, for example, might use the energy contained in the EV's storage to power up various households throughout peak times as well as when power costs are high, while it can be recharged later in the night when the energy prices are comparatively low [8]. They may also be rewarded for allowing their EVs to operate as distributed energy resources [9].…”

Section: Introductionmentioning

confidence: 99%

Electric Vehicle Battery Storage Concentric Intelligent Home Energy Management System Using Real Life Data Sets

2022

View full text Add to dashboard Cite

To meet the world’s growing energy needs, photovoltaic (PV) and electric vehicle (EV) systems are gaining popularity. However, intermittent PV power supply, changing consumer load needs, and EV storage limits exacerbate network instability. A model predictive intelligent energy management system (MP-iEMS) integrated home area power network (HAPN) is being proposed to solve these challenges. It includes forecasts of PV generation and consumers’ load demand for various seasons of the year, as well as the constraints on EV storage and utility grid capacity. This paper presents a multi-timescale, cost-effective scheduling and control strategy of energy distribution in a HAPN. The scheduling stage of the MP-iEMS applies a receding horizon rule-based mixed-integer expert system.To show the precise MP-iEMS capabilities, the suggested technique employs a case study of real-life annual data sets of home energy needs, EV driving patterns, and EV battery (dis)charging patterns. Annual comparison of unique assessment indices (i.e., penetration levels and utilization factors) of various energy sources is illustrated in the results. The MP-iEMS ensures users’ comfort and low energy costs (i.e., relative 13% cost reduction). However, a battery life-cycle degradation model calculates an annual decline in the storage capacity loss of up to 0.013%.

show abstract

Incremental expansion of large scale fixed and mobile charging infrastructure in stochastic environments: A novel graph-based Benders decomposition approach

Golsefidi,

Hipolito,

Pereira

et al. 2025

Applied Energy

View full text Add to dashboard Cite

A Mobile Energy Storage Unit Serving Multiple EV Charging Stations

Cited by 5 publications

References 23 publications

Power System Resilience: The Role of Electric Vehicles and Social Disparities in Mitigating the US Power Outages

Power System Resilience: The Role of Electric Vehicles and Social Disparities in Mitigating the US Power Outages

Electric Vehicle Battery Storage Concentric Intelligent Home Energy Management System Using Real Life Data Sets

Incremental expansion of large scale fixed and mobile charging infrastructure in stochastic environments: A novel graph-based Benders decomposition approach

Contact Info

Product

Resources

About