Vehicle-to-grid management for multi-time scale grid power balancing

Li, Shuangqi; Gu, Chenghong; Zeng, Xianwu; Zhao, Pengfei; Pei, Xiaoze; Cheng, Shuang

doi:10.1016/j.energy.2021.121201

Cited by 23 publications

(4 citation statements)

References 48 publications

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“…Charging management can be carried out with centralized or decentralized controllers [54]. EV usage patterns are collected in a virtual data center in both control methods to optimize the solutions with the objective functions that support sustainable environment and energy targets.…”

Section: The Impacts Potentials and Limitations Of Ev Behaviors On Ch...mentioning

confidence: 99%

“…However, the slower decision-making rate in centralized systems, in which the participants do not get involved due to privacy concerns, limits the optimal solutions for peak shaving and power regulation. Therefore, temporary fluctuations of load and power can be balanced in central control methods using 5-10 minutes or longer time-step [54].…”

Section: The Impacts Potentials and Limitations Of Ev Behaviors On Ch...mentioning

confidence: 99%

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A Comprehensive Data Analysis of Electric Vehicle User Behaviors Toward Unlocking Vehicle-to-Grid Potential

et al. 2023

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Electric vehicles (EVs) improve the power grid by increasing intermittent renewable energy consumption and providing financial support to EV users via vehicle-to-grid (V2G) integration. While estimating these advantages, a number of studies have neglected to consider the effect of driving and charging behavior patterns on their results. This article provides a framework that systematically evaluates EV driving and charging behaviors to improve charge management in the light of recent standards and advancements. In addition, the collected data on driving habits are analyzed in order to provide a consistent and usable dataset. By evaluating the individual and simultaneous charging demand characteristics, the V2G potential is further explored. Moreover, managerial recommendations for EV charging management are offered by improving the time step using the Bootstrap approach for more precise results than lower resolution. It is also addressed that the simultaneous use of a limited number of EVs required minimum time. According to the findings of this study, daily travel habits have a crucial influence in defining seasonal and individual charging demands. In order to continue with EV charging-related assessments with a confidence interval of more than 95%, the findings suggest that time steps of lower than ten minutes must be used. In addition, the purpose of this study is to assist researchers from academia and business with further information as they build initiatives linked to EV charging infrastructure and real-time charging management standards that account environmental aspects. INDEX TERMSBootstrap, charging behavior, distributed network, driving data, electric vehicle. ALPASLAN DEMIRCI received the B.S. and M.S. degrees in electrical engineering from Marmara University, Istanbul, Turkey, in 2007 and 2011, respectively, and the second B.S. degree in electrical and electronics engineering from Sakarya University, Turkey, in 2017. He is currently pursuing the Ph.D. degree in electrical engineering with Yıldız Technical University (YTU), Istanbul. From 2012 to 2016, he was a Lecturer at the Department of Electricity and Energy, YTU, where he is a Lecturer with the Electrical Engineering Department, since 2016. His research interests include power system optimization methods, distributed renewable energy systems, and energy economics and electric vehicles. He has published several papers related to his research areas.

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Section: The Impacts Potentials and Limitations Of Ev Behaviors On Ch...mentioning

confidence: 99%

Section: The Impacts Potentials and Limitations Of Ev Behaviors On Ch...mentioning

confidence: 99%

A Comprehensive Data Analysis of Electric Vehicle User Behaviors Toward Unlocking Vehicle-to-Grid Potential

et al. 2023

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“…Previous use of the EV battery for discharging to another system has been presented in the literature. For example, vehicle-to-grid (V2G) has been discussed in several previous scientific papers e.g., [22][23][24][25][26][27][28][29]. Other related concepts previously presented, including discharge of electricity from the EV battery, are vehicle-to-subway (V2S) [30], vehicle-to-home (V2H), vehicle-to-pedestrian (V2P), and vehicle-to-infrastructure (V2I) or, at large scale, vehicle-to-everything (V2X) [31].…”

Section: Electric Vehicles and Vehicle-to-gridmentioning

confidence: 99%

Vehicle-to-Water (V2W) Concept for Disaster Relief to Ensure Safe Access to Freshwater and Electricity—A Proposed System Where Electric Vehicles Power the Desalination Process

Leijon

Lindahl

2021

WEVJ

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In this paper, the concept of vehicle-to-water is proposed for disaster relief. This, along with a presentation of a new system including an electric vehicle of van type, with roof-mounted solar panels and a desalination system installed in its cargo hold. The system can be used for transportation and water and electricity supply, with zero tailpipe emissions. The mobile electric vehicle and desalination system are expected to be beneficial for communities with an urgent need for freshwater while also lacking electricity, such as during natural disasters or societal crises in coastal regions. It is related to the water–energy nexus and is an interdisciplinary project. The electric vehicle would have to be charged from a grid-connected charging infrastructure, and the desalination system would require an inlet of seawater and would generate freshwater and brine. The presentation of the innovative system is followed by a brief case study, estimating the amount of freshwater that could be generated and the amount of people that could benefit from such a system. It is estimated that one system could produce up to 29,333 L of freshwater daily, suggesting that around 1466 people could fulfill their personal daily freshwater need of 20 L during a disaster.

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“…The electrification of road vehicles and the concept of Energy-Transportation Nexus brings a bright prospect to solve the power balancing problems of MG [4]. GEV onboard batteries can offer the means to enhance MG flexibility, achieving uninterrupted operation by deferring their demand in time and space, acting as moving storage devices.…”

Section: Introductionmentioning

confidence: 99%

Online Battery Protective Energy Management for Energy-Transportation Nexus

Zhao

et al. 2022

IEEE Trans. Ind. Inf.

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Grid-connected electric vehicles (GEVs) and Energy-Transportation Nexus bring a bright prospect to improve the penetration of renewable energy and the economy of microgrids. However, it is challenging to determine optimal vehicle-to-grid (V2G) strategies due to the complex battery aging mechanism and volatile microgrid states. This paper develops a novel online battery anti-aging energy management method for Energy-Transportation Nexus by using a novel deep reinforcement learning framework. Based on battery aging characteristic analysis and rain-flow cycle counting technology, the quantification of aging cost in V2G strategies is realized by modelling the impact of number of cycles, depth of discharge, and charge and discharge rate. The established life loss model is used to evaluate battery anti-aging effectiveness of agent actions. The coordination of GEVs charging is modelled as multi-objective learning by using a deep reinforcement learning algorithm. The training objective is to maximize renewable penetration while reducing microgrid power fluctuations and vehicle battery aging costs. The developed Energy-Transportation Nexus energy management method is verified to be effective in optimal power balancing and battery anti-aging control on a microgrid in the UK. This research provides an efficient and economical tool for microgrid power balancing by optimally coordinating GEVs charging and renewable energy, thus helping promote a low-cost decarbonization transition.

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Vehicle-to-grid management for multi-time scale grid power balancing

Cited by 23 publications

References 48 publications

A Comprehensive Data Analysis of Electric Vehicle User Behaviors Toward Unlocking Vehicle-to-Grid Potential

A Comprehensive Data Analysis of Electric Vehicle User Behaviors Toward Unlocking Vehicle-to-Grid Potential

Vehicle-to-Water (V2W) Concept for Disaster Relief to Ensure Safe Access to Freshwater and Electricity—A Proposed System Where Electric Vehicles Power the Desalination Process

Online Battery Protective Energy Management for Energy-Transportation Nexus

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