Browse Topic: Electric power grid

Items (539)
The integration of Electric Vehicles (EVs) as active grid resources represents a pivotal shift towards decarbonization. However, the implementation of effective Vehicle-to-Everything (V2X) services faces technical challenges regarding interoperability, predictive management, and battery health preservation. This work presents a comprehensive system design and research methodology developed within the framework of the FLEXV2X project, aimed at addressing interdependencies within a unified bidirectional charging ecosystem. The proposed scientific framework addresses two complementary timescales. At the device level, the study details the modelling and optimization of bidirectional converters, focusing on control algorithms designed to ensure robust dynamic response and efficiency. Building upon this hardware foundation, the paper describes a system-level optimization strategy. By employing open-source cyber-physical modelling, the architecture simulates complex EV-grid interactions. This
Lutzemberger, GiovanniBarater, DavideCeraolo, MassimoFera, CesareLeaver, IanPasini, Gianluca
With the introduction of China’s dual-carbon goals (carbon peak and carbon neutrality), renewable energy has experienced rapid development in the country, particularly wind energy, which has established a pivotal role within the new energy sector. However, the inherent fluctuations in wind power generation pose significant challenges to maintaining grid stability and operational reliability. In power systems where the proportion of installed wind power capacity has significantly increased, the allocation of flexible resources becomes crucial. These resources help the system adapt to fluctuations in wind power generation and load demand, avoid wind power curtailment, and reduce costs. In addition, energy storage enhances grid flexibility and stabilizes renewable energy, but is constrained by high costs. Therefore, optimizing energy storage allocation and improving its economic efficiency have become urgent issues. This study focuses on flexibility adequacy assessment and resource
Peng, JianWei, JinpengZhu, ZhengyinHu, JianminLi, YuxiangMiao, GangZhang, Huaide
Bird accidental collision with overhead transmission lines poses a threat to the ecology of rare bird populations. This article analyzes the warning measures to prevent birds from accidental collisions at home and abroad. In response to the low efficiency of manual installation and the poor static warning effect in preventing birds from accidental collisions with overhead transmission lines, the visual characteristics of birds are analyzed. A drone-based automatic installation flash-type bird accidental collision warning device is proposed, which includes a fixture, a disc, and a luminous circuit. The fixture can be carried and installed on the overhead line by a drone and can be easily disassembled. The disc adopts eye-catching colors and has a hollow structure to reduce wind resistance load. The luminous circuit includes solar panels, charge and discharge control circuits, flicker control circuits, batteries, and luminous components. The drone suspension warning device test was
Wang, JianWang, XiulongLiu, BinLi, DanyuXu, Xunjian
To address the challenge of balancing voltage support and current limitation in grid-forming converters (GFCs)—a challenge induced by the uncontrollability of active power during transient faults in microgrids and weak grids—a low voltage ride through (LVRT) strategy utilizing adaptive virtual impedance with a variable resistance-to-inductance ratio is proposed. This strategy is designed to maximize the satisfaction of reactive power support and current limiting characteristics. By adaptively generating virtual impedance based on changing line parameters, the method enables adaptation to large disturbance conditions involving variations in line impedance and Short Circuit Ratio (SCR). First, a transient model of the virtual impedance for GFCs is established to clarify the transient instability mechanism. During the transient period, the power loop is controlled to prevent power angle divergence. Second, the influence mechanism of virtual impedance on reactive current and output current
Pang, BoYang, XiangzhenLiu, Fang
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Li, XingyuLin, ShizhongShao, ZhanCui, ShichengChen, RuiduanLuo, He
Live-line operation is a critical technique for maintaining the reliability and continuity of power supply in modern distribution networks. Insulating mats serve as essential protective equipment during such operations by providing both electrical insulation and mechanical shielding. In practical service conditions, insulating mats are subjected to repeated mechanical contact and friction against conductors, metallic fittings, and ground surfaces, which progressively deteriorates their surface integrity and compromises operational safety. Current performance standards for insulating mats emphasize dielectric and tensile properties, while tribological durability remains unaddressed. In this study, an EVA – PA6 composite film fabricated via the tape casting method was selected as the representative outer insulating layer of insulating mats. Reciprocating friction tests were conducted using an SDR339 abrasion tester to evaluate the effects of normal load and sliding speed on wear behavior
Sun, XinWen, LibinKou, Hanpeng
The stable operation of islanded DC microgrids is conditioned by two essential objectives. One is to maintain the bus voltage at its nominal value, and this can ensure system stability. The other is to achieve cost-effective power allocation among distributed generation units, which guarantees economic efficiency. These two objectives are often conflicting. Adding droop control to the voltage and current dual closed-loop control can achieve primary current sharing. However, it inevitably introduces steady-state voltage deviations on the DC bus and results in inflexible or not optimal power sharing. To resolve these inherent limitations, this paper proposes a innovative distributed secondary control strategy. The method is designed to meet both requirements within a unified framework. In the primary control layer, it uses adaptive droop gains to optimize power distribution in real time based on changing load requirements which enables distributed generation units to achieve cost
Sun, WeiShe, DunjunYu, JinzhuYuan, WeiboPeng, BoZheng, Yingchun
Currently, with the continuous development of electric vehicles, DC microgrids have attracted widespread attention due to their flexible access methods and high energy transmission efficiency. However, since the distributed secondary control of DC microgrids relies on information exchange through communication networks, false data injection (FDI) attacks on these networks may cause control algorithms to fail, leading to voltage deviations, output current imbalance, and in severe cases, system instability. This study focuses on DC microgrids based on parallel DC–DC buck converters and proposes a distributed secondary control strategy based on a sliding mode observer to address FDI attacks. By treating the system's FDI attack signals as an extended state, an extended sliding mode observer is designed to track the attack signals. Based on the observed attacks, a control algorithm is proposed that compensates the control inputs through the observer, ensuring proportional sharing of bus
Sun, WeiChen, JingYu, JinzhuYuan, WeiboPeng, BoLin, Fei
With the rapid growth of renewable energy sources such as photovoltaics, energy storage systems, and wind power, hybrid AC/DC microgrids (H-MGs) are gradually emerging as a key technology for achieving efficient interconnection between generation units and load demands. However, issues such as communication delays, unequal power sharing, and the restoration of voltage and frequency in hybrid microgrids have posed serious threats to the stable operation of microgrids. We also need to appropriately adjust the simulation parameters to ensure that the proposed control framework maintains sufficient flexibility under different load conditions and achieves high operating efficiency in simulation. To tackle these challenges, this paper proposes a distributed secondary control strategy grounded in coordinated consensus and combined with droop-based interlinking converters (ICs) to realize power coupling between the AC and DC subgrids. The proposed method enables precise active-power sharing
Yu, PeijieZhang, FanghaiSun, WeiYuan, WeiboPeng, Bo
As the demand for electrical power has surged over recent years due to the increasing popularity of data centers for Artificial Intelligence (AI) and Electric Vehicles (EVs), it is becoming evident that the aging electrical grid infrastructure is struggling to keep up. Some of the problems this aging infrastructure has resulted in include frequent blackouts due to weather related events, reduced efficiency resulting in higher maintenance costs and outdated communication systems causing poor monitoring and response times. Modernization of the grid in conjunction with integration of the transportation sector with the grid is essential to ensure the reliability and resiliency of the grid. Electric vehicles have dramatically increased in popularity, with most vehicle manufacturers offering at least one electric option in their lineups. Looking at recent developments in vehicle-to-grid (V2G) technology, a new possibility becomes evident; instead of straining the power grid, the electric
Dahlmann, Alexander DrakeLele, Sneha
Battery Electric Vehicles (BEV) have been sold as ‘Zero Emissions Vehicles’ (ZEV) by governments to reduce transportation CO2. While they are not ZEV because they run on grid electricity, they could be ‘effectively ZEV’ if the incremental CO2 is ‘very small’. At the national level, this is estimated using following metrics: (1) Internal Combustion Engine Vehicle (ICEV) fuel consumption, from the total US gasoline consumption divided by the total fleet miles driven, 25 mpg or 350 g CO2/mi, (2) Strong Hybrid Electric Vehicles (HEV) about one third less, 240 g CO2/mi. (3) BEV energy consumption, using data from systematic on-road testing of a wide range of vehicles, estimated at 40 kWh/100 mi for a US sales mix. (4) Electricity marginal CO2: in a ranked order grid, zero-CO2 sources are prioritized and supplemented by fossil sources. IEA hourly data show that the US 48 contiguous states are self-contained, with zero-CO2 sources providing a third of total demand. The response to hourly
Phlips, Patrick
The growing adoption of electric vehicles (EVs), particularly those utilizing High-Voltage battery systems, demands fast-charging infrastructure that ensures high efficiency and power quality. The proposed GJO algorithm is employed to optimize the control and switching parameters of the Vienna rectifier, thereby improving harmonic performance and conversion efficiency without altering the converter hardware. This paper focuses solely on control optimization of the Vienna rectifier topology and does not include DC–DC isolation or galvanic separation. Filter components are modeled with equivalent series resistance (ESR) to account for incremental losses. Simulation results demonstrate that the Golden Jackal optimization (GJO) based control reduces input current THD to 2.09%, has a power factor of 0.998, and achieves an efficiency of 98.53%, representing a fractional but consistent improvement over conventional control methods such as SSA, ALO, and PSO. These findings highlight the
R, Mohammed AbdullahN, Kalaiarasi
The transition to electric mobility has accelerated the evolution of drivetrain technologies, particularly in the design and performance of electric vehicle (EV) transmissions. Unlike traditional internal combustion engine (ICE) vehicles, EVs utilize simpler yet diverse transmission systems cater to specific performance, efficiency, and application requirements. The growing adoption of electric vehicles across diverse transportation sectors has intensified the need for optimized electric transmission systems as per vehicle requirements. This research presents a comparative study of electric transmission performance across various vehicle segments, including Passenger Cars, Small commercial Vehicle, Commercial three-wheelers and All-terrain vehicles. The study evaluates different transmission configurations namely single-speed and multi-speed, based on key performance metrics such as Drag loss and Efficiency. Through a combination of literature review, and performance benchmarking, the
Jain, SankalpP, Ekhesh
This paper explains the method of precooling of electric vehicle from grid connected charger reduce load on HVAC and improve the range. HVAC systems are integral part of a commercial EV bus. With the rise of ambient temperatures during various seasons, the load on HVAC System is increasing. Once an Electric vehicle is released from a depot for service, with an initial soaked up ambient vehicle, the HVAC system demands peak power for cooling the interiors which consumes a lot of battery power thus affecting the range. That cause the additional energy consumption required for precooling, which cannot be estimated as it is highly dependent on ambient temperature and range of the vehicle is also dependent on HVAC consumption during summer and peak loads. This paper is proposing a method that uses a special precooling mode which is activated depending on the selection of the vehicle route based on backend application running on cloud. The Application in the cloud checks if the vehicle is
Ganguly, SutanuShukla, AmishaJain, SarikaPatil, RohanSahu, PritishYadav, AnkitMarskole, DeepaAmancharla, Naga Chaithanya
Precise estimation of power metrics like active power, reactive power and apparent power is mandatory for effective control and monitoring of three phase power systems. On the other hand there might be challenges like waveform distortion, noisy signals and unbalanced load circumstances. traditional methods may not always provide accuracy in such an environment thus to address that in this study, we are using cross correlation and zero crossing methods to estimate power parameters of a three phase system. We are using these signal processing techniques to find phase angle, which in turn determines all other power parameters like active power, reactive power, apparent power, power factor. While Cross correlation tracks both the signals at different time lags and evaluate similarity between both the signals, zero crossing point approach identifies some particular locations where signal crosses zero axis. This analysis can be used in various applications such as power parameters monitoring
Panchal, Sanjivani VishwanathRoy, Sandipan
The advancement of electric mobility has driven the development of technologies aimed at enabling smart, secure, and interoperable electric vehicle (EV) charging. In this context, this paper presents a technical and market analysis of the Vehicle-to-Grid (V2G) and Plug & Charge (PnC) functionalities, focusing on their architectures, applicable technical standards, communication protocols, levels of commercial maturity, and emerging applications. The discussion begins with a review of the main national and international standards relevant to charging infrastructure, with emphasis on IEC 61851, IEC 62196, and ISO 15118 series, which address the technical requirements of equipment, connectors, and vehicle-to-grid communication. The operation of V2G is then discussed as a technology that enables bidirectional energy flow between the EV and the power grid, with a focus on topological configurations, pilot project applications, and regulatory and economic challenges that currently limit its
Marques, Felipe L. R.Arioli, Vitor T.Bernardo, RodrigoNakandakare, Cleber A.Pizzini, Luiz R.Nicola, Eduardo V.
This paper examines the effect of vehicle-to-grid (V2G) integration on battery aging and the economic viability of plug-in hybrid electric vehicles (PHEVs). Due to their energy storage potential, V2G technologies are considered an environmentally friendly means to increase the stability of power grids. Persistent V2G operations tend to reduce battery lifetime and, consequently, will increase its replacement cost, which is a source of uncertainty for EV owners. This work investigates battery degradation under two scenarios: first, under normal vehicle operation using the US06 drive cycle, and second, under V2G operation with a 10-kW and 15-kW bidirectional charger. In the case of V2G operation, the charger discharges the battery by 20 kWh and then recharges it back to 90% state of charge (SoC) at a constant 1C-rate. Real-time simulations are performed in order to validate these results: a grid, a bidirectional charger, and the vehicle battery are modeled in a real-time simulator
Timilsina, LaxmanMoghassemi, AliBuraimoh, ElutunjiArsalan, AliRahman, S.M. ImratMuriithi, GraceOzkan, GokhanPapari, BehnazEdrington, Christopher S.
As the electric vehicle (EV) industry grows rapidly in Saudi Arabia, driven by the development of companies such as CEER, Lucid, and Tesla, there is an increasing need to evaluate and adapt electricity tariff structures to address changing demand patterns. This study explores the interaction between EV charging infrastructure, electricity pricing strategies, and consumer behavior, aiming to provide insights that support the sustainable expansion of the electric mobility ecosystem in the Kingdom. The methodology incorporates demand-supply analysis, energy consumption forecasting, and comparative assessments of tariff models implemented in other countries, with Saudi Arabia serving as a case study aligned with Vision 2030 objectives. Although EV adoption is expected to increase electricity demand, the Kingdom’s generation capacity, which reached 453 TWh in 2023 and is projected to exceed future consumption, ensures a stable and sufficient supply. Currently, public EV charging services
AlJuhani, Haneen Radi ABedywi, Lama Mohammed AAbdulNour, Bashar
Why smart electrical distribution is the new frontier in sustainable manufacturing. From transitioning to renewable energy, embracing the circular economy and pursuing carbon offsets, today's automakers are actively working to become more sustainable. Many OEMs have big goals to become fully carbon-neutral by 2050. Some believe they can get there even earlier. But look past the cars and sources of energy right into the factories in which the vehicles of today and tomorrow are born and focus on a key question: how can carmakers make significant strides inside their plants to cut waste and improve sustainability?
Hamadani, Mariam
This SAE Recommended Practice establishes the communication for the variety of potential functions for plug-in electric vehicle (PEV) customers. This includes features for use case items in SAE J2836/3 that may be PEV/customer optional equipment, such as AC vehicle-to-load (V2L) and AC vehicle-to-vehicle systems. These systems conform to SAE J1772 with variations required to identify to the PEV bidirectional onboard charger (OBC) the mode of operation changes and output requirements. SAE has published multiple documents relating to PEV and vehicle-to-grid (V2G) interfaces. The various document series are listed below, with a brief explanation of each. Figure 1 shows the sequencing of these documents and their primary function (e.g., the SAE J2836 and SAE J2847/1 documents start with smart charging, SAE J2836 and SAE J2847/2 then add DC charging, etc.). The intent is to have subsequent slash sheets complement each other as more functions and features are included. The /6 series of
Hybrid - EV Committee
A home in Silicon Valley goes dark for a moment, then clicks back to life. A GM Energy employee had switched off the house's access to the grid. When it detects a lack of power the GM Energy PowerShift Charger box, inverter, and Silverado EV switch from charging the vehicle or sitting idle to powering the home. Ford's F-150 Lighting and Kia's EV9 also have bi-directional charging boxes that can keep the lights on when the grid fails. Bidirectional charging, or V2H (vehicle to home), is one of the more important features of electric vehicles. It has the potential to keep the lights on during blackouts, save people money on their utility bills and help balance the grid.
Baldwin, Roberto
University of Waterloo researchers are tapping into idled electric vehicles (EVs) to act as mobile generators and help power overworked and aging electricity grids.
With the rapid expansion of the electric vehicle (EV) market, the frequency of grid-connected charging has concentrated primarily during peak hours, notably from 7:00 a.m. to 10:00 a.m. and 6:00 p.m. to 10:00 p.m., resulting in substantial demand surges during both morning and evening periods. Such uncoordinated charging patterns pose potential challenges to the stability and economic efficiency of power systems. As vehicle-to-grid (V2G) technology advances, facilitating bidirectional energy exchange between EVs and smart grids, the need for optimized control of EV charging and discharging behaviors has become critical to achieving effective peak shaving and valley filling in the grid. This paper proposes a microgrid energy scheduling optimization algorithm based on existing smart grid and EV charging control technologies. The method establishes a multi-objective optimization model with EVs’ 24-h charging and discharging power as decision variables and microgrid load rate, load
Fan, LongyuChen, YuxinZhang, Dacai
This document describes the details of the Smart Energy Profile 2.0 (SEP2.0) communication used to implement the functionality described in the SAE J2836-1 use cases. Each use case subsection includes a description of the function provided, client device requirements, and sequence diagrams with description of the steps. Implementers are encouraged to consult the SEP2.0 schema and application specification for further details. Where relevant, this document notes, but does formally specify, interactions between the vehicle and vehicle operator.
Hybrid - EV Committee
Mitsubishi Fuso Truck and Bus has announced it will conduct a joint demonstration of its Battery 2nd Life initiative this year. This initiative will be jointly conducted with CONNEXX Systems and will repurpose used batteries from Mitsubishi eCanter trucks to build energy storage systems. According to Mitsubishi, CONNEXX will remove the used batteries from end-of-life eCanters and repurpose them as power sources for what CONNEXX has dubbed its EnePOND EV Charger energy storage systems. These units have integrated EV chargers developed by CONNEXX that can reportedly reduce the load on the existing power grid while allowing for DC fast charging of multiple EVs simultaneously. CONNEXX also noted that these units enable EV charging during power outages.
Wolfe, Matt
This research investigates how distributed energy resources (DERs) and electric vehicles (EVs) affect distribution networks. With sensitivity analysis, the research focuses on how these integrations affect load profiles. The research focuses on sizing of various DERs and EV charging/discharging strategies to optimize the load profile, voltage stability, and network loss minimization. System parameters including load profile, EV charging pattern, weather conditions, DER sizes, and electricity pricing are analyzed to quantify their individual and combined impacts on load variability. However, with increased capacity of DERs, network losses increase. A mathematical model with system and operational constraints has been developed and simulated in MATLAB Simulink environment, validation of the proposed approach in improving the load profile, and reduction in network losses, with the intermittent power generation from DERs and EV integration. Simulation result shows that optimal capacity of
Khedar, Kamlesh KumarGoyal, Govind RaiSingh, Pushpendra
This paper presents the strategy design, development, and detailed simulation of an Energy Management System (EMS) for a range extender energy storage microgrid project. Initially, a microgrid system model including photovoltaic (PV) and energy storage devices was established. Secondly, the Latin Hypercube Sampling (LHS) method was employed to generate possible operational scenarios, and an improved K-means clustering algorithm was used for scenario classification. Subsequently, a series of constraints were constructed for the economic viability of the microgrid to minimize its annualized comprehensive cost, while satisfying power balance and equipment operation. Finally, the microgrid system was simulated and solved using the GUROBI solver, covering cost analyses of the energy storage system and diesel generators under different configurations, as well as the State of Charge (SOC) variations of the energy storage system. The simulation results indicate that, after considering the one
Hua, YuweiJin, ZhenhuaHuang, HuilongWang, Zihao
Our energy future may depend on high-temperature superconducting (HTS) wires. This technology’s ability to carry electricity without resistance at temperatures higher than those required by traditional superconductors could revolutionize the electric grid and even enable commercial nuclear fusion.
This SAE Technical Information Report (TIR) establishes the instructions for the documents required for the variety of potential functions for PEV communications, energy transfer options, interoperability, and security. This includes the history, current status, and future plans for migrating through these documents created in the Hybrid Communication and Interoperability Task Force, based on functional objective (e.g., [1] If I want to do V2G with an off-board inverter, what documents and items within them do I need, [2] What do we intend for V3 of SAE J2953, …).
Hybrid - EV Committee
Adoption of Electric Vehicles (EVs) reduces air pollution by reducing harmful gas emissions. Such adoption, however, needs a reliable and convenient charging infrastructure, including smart EV charging. Renewable energy sources such as solar photovoltaic cells, battery and wind energy systems can address these infrastructural gaps which work in conjunction with main grid power supply thereby providing low-cost electricity. This paper introduces an energy management algorithm for integrated renewable and grid power sources available at charging stations across India that considers techno-economic and environmental factors. The current work proposes a supervisory controller model that manages the load power demand of the charging station. The controller effectively deploys low cost energy sources based on the status of all available power supplies and reduces the overall charging costs in real time. The energy management algorithm ensures adequate stand-alone energy generation and
Shukla, AnkitKushwah, Yogendra SinghSuman, Saurabh
It’s common knowledge that a major challenge for solar energy is how to store excess energy produced when conditions are right, like noon-time sun, so that it can be used later. The usual answer is batteries. But renewable energy resources are causing problems for the electricity grid in other ways as well. In a warm, sunny location like California, mid-afternoon had been a time of peak demand for the electric utility, but with solar it’s now a time of peak output.
A device was developed that uses composite-based nonlinear transmission lines (NLTLs) for a complete high-power microwave system, eliminating the need for multiple auxiliary systems. The interest in NLTLs has increased in the past few decades because they offer an effective solid-state alternative to conventional vacuum-based, high-power microwave generators that require large and expensive external systems such as cryogenic electromagnets and high-voltage nanosecond pulse generators.
Tracking of energy consumption has become more difficult as demand and value for energy have increased. In such a case, energy consumption should be monitored regularly, and the power consumption want to be reduced to ensure that the needy receive power promptly. Our objective is to identify the energy consumption of an electric vehicle from battery and track the daily usage of it. We have to send the data to both the user and provider. We have to optimize the power usage by using anomaly detection technique by implementing deep learning algorithms. Here we are going to employ a LSTM auto-encoder algorithm to detect anomalies in this case. Estimating the power requirements of diverse locations and detecting harmful actions are critical in a smart grid. The work of identifying aberrant power consumption data is vital and it is hard to assure the smart meter’s efficiency. The LSTM auto-encoder neural network technique is used here for predicting power consumption and to detect anomalies
Deepan Kumar, SadhasivamArun Raj, VR, Vishnu Ramesh KumarManojkumar, R
The mobility industry with its entire ecosystem is currently striving towards sustainable solutions, which leads to a continuous production ramp-up of electrified vehicles. The parallel extension of the charging infrastructure is needed but faced with various challenges like high investments and power limitations of local electrical grid connection. To fulfill the user requirements of electrified vehicle owners, large-scaled but cost-efficient charging systems for different parking scenarios in residential buildings, at work or at the destination are essential. MAHLE chargeBIG offers large-scaled and centralized charging infrastructure with more than 2,000 already installed charging points since 2019. This paper is a first scientific publication with an in-dept evaluation of the large-scaled charging infrastructure usage. Based on backend data of multiple MAHLE chargeBIG charging infrastructure installations with more than 600 charging points, more than 70,000 recorded charging events
Mehlig, DennisKrumbholz, MatthiasGerstadt, Max
Life cycle analyses suggest that electric vehicles are more efficient than gasoline internal combustion engine vehicles (ICEVs). Although the latest available data reveal that electric vehicle (EV) life cycle operational efficiency is only 17% (3 percentage points) higher than a gasoline ICEV, overall life cycle efficiencies including manufacturing for EVs are 2 percentage points lower than for ICEVs. Greenhouse gas (GHG) emissions of EVs are only 4% lower than ICEVs, but criteria emissions of NOx and PM are approaching or exceeding two times those of gasoline ICEVs. Significant reductions in electric grid emissions are required to realize EV’s anticipated emission benefits. In contrast, hybrid electric vehicles (HEVs) have over 70% higher efficiency and 28% lower GHG emissions than today’s EVs. For heavy-duty trucks using today’s gray hydrogen, produced by steam–methane reforming, overall life cycle efficiencies of ICEs and fuel cells are 63% higher than electric powertrains using
Wade, Wallace R.
Nowadays, electrification is largely acknowledged as a crucial strategy to mitigate climate change, especially for the transportation sector through the transition from conventional vehicles to electric vehicles (EVs). As the demand for EVs continues to rise, the development of a robust and widespread charging infrastructure has become a top priority for governments and decision-makers. In this context, innovative approaches to energy management and sustainability, such as Vehicle-to-Grid (V2G), are gradually being employed, leading to new challenges, like grid service integration, charge scheduling and public acceptance. For instance, the planned use scenario, the user’s behavior, and the reachability of the geographical position influence the optimal energy management strategies both maintain user satisfaction and optimize grid impact. Firstly, this paper not only presents an extensive classification of charging infrastructure and possible planning activities related to different
Innocenti, EleonoraBerzi, LorenzoKociu, AljonDelogu, Massimo
Smart devices can be hacked. That makes the electric grid vulnerable to bad actors who might try to turn off the power, damage the system, or worse. Recently, a team of experts at the Department of Energy’s Pacific Northwest National Laboratory put forth a new approach to protect the grid.
The benefits of EVs are still being explored and introduced to the world. The latest is GM Energy's new bidirectional charging system. With a host of EVs on the market and more on the way, GM Energy unveiled its Vehicle-to-Home (V2H) bidirectional charging solution. The wall box and companion apps will initially be available on the 2024 Chevrolet Silverado EV First-Edition RST2. Compatibility with other vehicles under the GM umbrella will be supported in the future.
Baldwin, Roberto
A commonplace chemical used in water treatment facilities has been repurposed for large-scale energy storage in a new battery design by researchers at the Department of Energy’s Pacific Northwest National Laboratory. The design provides a pathway to a safe, economical, water-based, flow battery made with Earth-abundant materials. It provides another pathway in the quest to incorporate intermittent energy sources such as wind and solar energy into the nation’s electric grid.
This Aerospace Information Report (AIR) is intended to provide information relating to the construction, calibration, and usage of parallel plate transmission lines in electromagnetic compatibility susceptibility testing.
AE-4 Electromagnetic Compatibility (EMC) Committee
Modern automotive industry field is recently moving to more electrification level, so the presence of Battery Electric Vehicles (BEVs) is constantly increasing, along with charging technology evolution. Typically, BEVs do not use a significant portion of their battery’s capacity in day-to-day travel, which means their most valuable asset, the battery, sits idle during most of its life. Vehicle to Load (V2L) feature enables the transfer of energy from vehicle to the external loads (like utility tools, dryer, camping equipment or any other electrical appliance) which is connected to the power socket present in the Power Panel to perform AC Discharging. V2L technology lets consumers get more energy from a vehicle, even when it is turned off, improving consumer appeal. Bottomline, consumers can use this on-board Power Panel like a normal portable generator. More specifically, this paper will explore a scalable V2L architecture design with on-board Smart Power Panel technology, requested to
Tavella, DomenicoTolkacz, JosephKasture, ArchanaSarkar, Ashish
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