Machine to machine performance evaluation of grid-integrated electric vehicles by using various scheduling algorithms

Morsalin, S.; Haque, Akramul; Mahmud, M. A.

doi:10.1016/j.etran.2020.100044

Cited by 8 publications

(5 citation statements)

References 14 publications

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“…Infrastructure for charging Electric Vehicles (EVs): M2M connectivity enables the integration of EV charging infrastructure into the smart grid. M2M-enabled charging stations can connect with utility companies to manage load balancing, optimize charging schedules, and facilitate demand response for EV charging during grid stress [118].…”

Section: E Smart Gridmentioning

confidence: 99%

Investigations in Security Challenges and Solutions for M2M Communications—A Review

Manikandan

2024

IJEETC

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The Internet of Things (IoT) is becoming increasingly popular, and machine-to-machine (M2M) technology is one of its major components. Reducing human interaction and tasks is one of the most important justifications for research in M2M communication. Also, M2M technology decreases network traffic, improving network effectiveness. In contrast, multiple networks are combined into M2M networks, which leads to security-related design concerns. However, a significant barrier to its growth is security. According to statistics, new gadgets may come under attack five minutes after they connect to the Internet. If these issues are resolved, it will be easier for people to trust this worldview. Security issues with possible solutions have gotten little attention despite extensive M2M studies. This article provides a comprehensive security analysis of M2M communication technologies, exploring the risks and solutions to better comprehend M2M communication and its security implications.

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Section: E Smart Gridmentioning

confidence: 99%

Investigations in Security Challenges and Solutions for M2M Communications—A Review

Manikandan

2024

IJEETC

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“…Here, DESE = Emobility Supply Equipment; DEEV = Electric Vehicle; DEOL = Outlet; MMTR = Metering; XCBR = Circuit Breaker; XSWI = Circuit Switch; ZSAR = Surge Arrestor; DSCH = Schedule. Besides this, the total number of EVs that can communicate with the base station has been investigated and examined different scheduling algorithms to justify the scalability limit [85].…”

Section: ) Vehicle-to-grid (V2g) Systemmentioning

confidence: 99%

Exploring the Potential Application of IEC 61850 to Enable Energy Interconnectivity in Smart Grid Systems

Das,

Haque,

Zaman

et al. 2024

IEEE Access

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In the quest of an efficient smart energy management system that can fulfill the power demand of consumers, researchers are focusing on smart power system which can integrate both conventional and renewable energy resources as well as production of clean energy. As a result, the concept of Internet of Energy (IoE) is developed which is similar to the perception of Internet of Things (IoT), which supports both energy and information flow. In this study, a systematic review of the current state-of-the-art of IoE and IEC 61850 has been presented, and it has identified the research gaps and opportunities for future development. The discussion unfolds by illuminating the evolution of smart grids and IoE, shedding light on the benefits and challenges inherent in employing IEC 61850 as a communication standard for IoE. Moreover, the potential application of IEC 61850 standard for enabling IoE in smart grids has been explored. Besides reviewing the trends and challenges of IoE and its key technologies, such as energy routers, power generation equipment, and energy storage devices; it also discussed how the IEC 61850 standard can facilitate the communication and interoperability among these technologies and provide a robust and flexible platform for the IoE. The outcome of this study show that IEC 61850 has a wide range of applicability and suitability for IoE, as it can support various functions and features of IoE, such as information modeling, data exchange, plug-and-play, fault detection, and intelligent control. This study also presents some examples of IEC 61850 based IoE systems, such as energy routers, wind and solar power plants, battery storage systems, and vehicle-to-grid systems. The comparison of this study with the equivalent studies shows that this study provides a comprehensive and up-to-date overview of IoE and IEC 61850, and covers a wide range of topics and aspects of IoE and IEC 61850. This study also provides a critical evaluation of the strengths and weaknesses of IEC 61850 for IoE, and proposes some directions for future research and development.

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“…The battery terminal voltage can also be calculated by model simulation in Equations ( 2)-( 4). The root mean square error (RMSE) between the simulation estimation result and the test result can be calculated in Equation (5).…”

Section: Battery Mechanism Investigationmentioning

confidence: 99%

“…Future power systems would face the problem of an enlarged energy imbalance gap and declined inertia stability due to 'dual-high' characteristics, namely, the high penetration of intermittent renewable energy (RE) and a high proportion of power electronics with low inertia [1][2][3]. With the rapid development of electric vehicles (EVs), more and more attention has been given to the potential of the massive amount of EV batteries functioning as distributed energy storage through vehicle-to-grid (V2G) integration [4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Study of Degradation Characteristics and Mechanisms of Commercial Li(NiMnCo)O2 EV Batteries under Vehicle-To-Grid (V2G) Services

et al. 2022

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Lithium-ion batteries on electric vehicles have been increasingly deployed for the enhancement of grid reliability and integration of renewable energy, while users are concerned about extra battery degradation caused by vehicle-to-grid (V2G) operations. This paper details a multi-year cycling study of commercial 24 Ah pouch batteries with Li(NiMnCo)O2 (NCM) cathode, varying the average state of charge (SOC), depth of discharge (DOD), and charging rate by 33 groups of experiment matrix. Based on the reduced freedom voltage parameter reconstruction (RF-VPR), a more efficient non-intrusive diagnosis is combined with incremental capacity (IC) analysis to evaluate the aging mechanisms including loss of lithium-ion inventory and loss of active material on the cathode and anode. By analyzing the evolution of indicator parameters and the cumulative degradation function (CDF) of the battery capacity, a non-linear degradation model with calendar and cyclic aging is established to evaluate the battery aging cost under different unmanaged charging (V0G) and V2G scenarios. The result shows that, although the extra energy throughput would cause cyclic degradation, discharging from SOC 90 to 65% by V2G will surprisingly alleviate the battery decaying by 0.95% compared to the EV charged within 90–100% SOC, due to the improvement of calendar life. By optimal charging strategies, the connection to the smart grid can potentially extend the EV battery life beyond the scenarios without V2G.

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Machine to machine performance evaluation of grid-integrated electric vehicles by using various scheduling algorithms

Cited by 8 publications

References 14 publications

Investigations in Security Challenges and Solutions for M2M Communications—A Review

Investigations in Security Challenges and Solutions for M2M Communications—A Review

Exploring the Potential Application of IEC 61850 to Enable Energy Interconnectivity in Smart Grid Systems

A Comprehensive Study of Degradation Characteristics and Mechanisms of Commercial Li(NiMnCo)O2 EV Batteries under Vehicle-To-Grid (V2G) Services

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