As a mobile energy storage component with the capability of Vehicle-to-Grid (V2G), electric vehicles (EVs) provide a solution for the safe and stable operation of multimicrogrids.

The robot brings a mobile energy storage device in a trailer to the EV and completes the entire charging process without human intervention. Sprint and Adaptive Motion Group launched the "Mobi" self-driving robot designed to charge electric buses, automobiles and industrial vehicles [12]. The robots are charged by solar energy and

YAN Haoyuan, ZHAO Tianyang, LIU Xiaochuan, DING Zhaohao. Modeling of Electric Vehicles as Mobile Energy Storage Systems Considering Multiple Congestions [J]. Applied Mathematics and Mechanics, 2022, 43 (11): 1214-1226. doi: 10.21656/1000-0887.430303.

Collaborative Planning of Charging Station and Distribution Network Considering Electric Vehicle Mobile Energy Storage Guanghui Hua 1, Qingqiang Xu 2, Yating Zhang 3 and Tian Yu 1 Author affiliations 1 China Electric Power Research Institute, Nanjing, Jiangsu Province, China

In this Article, we estimate the ability of rail-based mobile energy storage (RMES)—mobile containerized batteries, transported by rail among US power sector regions—to aid the grid in

Compared with these energy storage technologies, technologies such as electrochemical and electrical energy storage devices are movable, have the merits of low cost and high energy conversion efficiency, can be flexibly located, and cover a large range, from miniature (implantable and portable devices) to large systems (electric vehicles and

Scheduling mobile energy storage vehicles (MESVs) to consume renewable energy is a promising way to balance supply and demand. Therefore, leveraging the spatiotemporal transferable characteristics of MESVs and EVs for energy, we propose a co-optimization method for the EV charging scheme and MESV scheduling on the

Abstract: In active distribution networks (ADNs), mobile energy storage vehicles (MESVs) can not only reduce power losses, shave peak loads, and

Due to the short-term large-scale access of renewable energy and residential electric vehicles in residential communities, the voltage limit in the distribution network will be exceeded, and the quality of power supply will be seriously reduced. Therefore, this paper introduces the mobile energy storage system (MESS), which effectively solves the

The basic model and typical application scenarios of a mobile power supply system with battery energy storage as the platform are introduced, and the input process and key technologies of

Vehicle-for-grid (VfG) is introduced as a mobile energy storage system (ESS) in this study and its applications are investigated. Herein, VfG is referred to a specific electric vehicle merely utilised by the

Mobile energy storage (MES) has the flexibility to temporally and spatially shift energy, and the optimal configuration of MES shall significantly improve the active distribution network (ADN) operation economy and renewables consumption. In

Under the guidance of carbon peaking and carbon neutrality goals, China actively promotes the development of the electric vehicle (EV) industry. As mobile energy storage, EVs have good energy storage characteristics and controllability, which can effectively compensate for the volatility of PV power generation (Sun et al. 2017) and

Aiming at the optimization planning problem of mobile energy storage vehicles, a mobile energy storage vehicle planning scheme considering multi-scenario and multi-objective requirements is proposed.

Mobile energy storage vehicles can not only charge and discharge, but they can also facilitate more proactive distribution network planning and dispatching

A collaborative planning model for electric vehicle (EV) charging station and distribution networks is proposed in this paper based on the consideration of electric

Because of the rapid development of electric vehicles (EVs), the energy management of multimicrogrid (MMG) systems has attracted considerable research attention. The objective of this study is to coordinate scheduling performance for MMG systems under large-scale EV operations. To address the problem that the calculation time increases exponentially

The problem involves uncertainties of load, renewable energy, and energy demand of mobile ESSs and has a nonlinear form. Adaptive robust optimization based on a hybrid meta-heuristic algorithm that utilizes a combination of the sine-cosine algorithm (SCA) and crow search algorithm (CSA) is proposed to achieve an optimal robust structure for

[1] S. M. G Dumlao and K. N Ishihara 2022 Impact assessment of electric vehicles as curtailment mitigating mobile storage in high PV penetration grid Energy Reports 8 736-744 Google Scholar [2] Stefan E, Kareem A. G., Benedikt T., Michael S., Andreas J. and Holger H 2021 Electric vehicle multi-use: Optimizing multiple value

The battery of EV can be treated as a kind of mobile distributed energy storage device based on the vehicle-to-grid (V2G) (Guille and Gross, 2009, Kempton and Tomić, 2005) mode, which can absorb electric power from and feedback the power to the main power grid. Therefore, EV can participate in the operation and control of the microgrid.

The basic model and typical application scenarios of a mobile power supply system with battery energy storage as the platform are introduced, and the input process and key technologies of mobile

There has been much research focused on resilience-driven operational problems incorporating mobile energy storage systems (MESSs) routing and scheduling due to its mobility and flexibility. [14], an optimal planning model is presented for smart multi-energy systems, while electric vehicle routing and charging/discharging are

Supported by the technical development of electric battery and charging facilities, plug-in electric vehicle (PEV) has the potential to be mobile energy storage (MES) for energy delivery from resourceful charging stations (RCSs) to limited-capacity charging stations (LCSs). In this paper, we study the problem of using on-road PEVs as MESs for energy

Compared with fixed energy storage, mobile energy storage (MES) not only has energy regulation flexibility in the time dimension but also has flexible regulation capability spatially by

The main contributions of this study can be summarized as Consider the source-load duality of Electric Vehicle clusters, regard Electric Vehicle clusters as mobile energy storage, and construct a source-grid-load-storage coordinated operation model that considers the mobile energy storage characteristics of electric vehicles.

Aiming at the problem that large-scale disorderly grid connection of electric vehicles negatively affects grid operation and causes a large amount of abandoned wind and abandoned light, an orderly

In this paper, we review recent energy recovery and storage technologies which have a potential for use in EVs, including the on-board waste energy

Based on the. technology of mobile energy storage and electr ic charging pile, a gun/seat integrated. control system is designed to optimize the interface of mobile energy storage vehicle. One

Compared with traditional energy storage technologies, mobile energy storage technologies have the merits of low cost and high energy electric vehicles, and even grid-connected energy storage systems. Fuel cells, especially hydrogen fuel cells, which are

A mobile energy storage system is composed of a mobile vehicle, battery system and power conversion system [34]. Relying on its spatial–temporal flexibility, it can be moved to different charging stations to exchange energy with the power system.

The rapid growth in the number of electric vehicles (EVs), driven by the ''double-carbon'' target, and the impact of uncontrolled charging and discharging behaviour and discharged battery losses severely limit electric

Based on BESSs, a mobile battery energy storage system (MBESS) integrates battery packs with an energy conversion system and a vehicle to provide pack-up resources and By setting the

In order to examine the impact of mobile storage on building energy costs and carbon dioxide (CO2) emissions, a microgrid/distributed-energy-resources (DER) adoption problem is formulated as a