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ردیف | عنوان | نوع |
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1 |
Multi-stage stochastic framework for simultaneous energy management of slow and fast charge electric vehicles in a restructured smart parking lot
چارچوب تصادفی چند مرحله ای برای مدیریت همزمان انرژی وسایل نقلیه برقی آهسته و سریع در یک پارکینگ هوشمند بازسازی شده-2020 A widespread appeal of electric vehicles entails, among other elements, the provision of fast charging stations to
reduce the range anxiety. We present a novel structure and operating mechanism for EV parking lots where,
traditionally, parked vehicles were charged in level-1 or level-2 charging modes. Due to ubiquitous presence of
these parking lots in all urban and residential areas, the proposed approach actually leads to creation of just as
many fast charging stations each accommodating a modest number of fast charging vehicles in proportion to the
base capacity of the parking lot. A three-stage scheduling framework based on stochastic programming and MPC
is introduced, consisting of day-ahead, periodic real-time and intra-period real-time planning for joint scheduling
task of inflexible loads, slow- and fast-charged vehicles. The comprehensive fast charge allocation algorithm
incorporates V2V concept, M/G/∞ queuing theory and a resource priority stack based on Most Laxity First
concept. By providing energy to EVs of different charging classes, the proposed model can be considered a
unified approach to prevent or at least reduce the need for separate fast charging stations in urban areas.
Comprehensive examples demonstrate the effectiveness of the proposed approach in handling charging load of
different EV classes. Keywords: Electric vehicles | Energy storage system | Fast charging stations | Load scheduling | Power market | Smart parking lots | Stochastic programming |
مقاله انگلیسی |
2 |
A dynamic charging strategy with hybrid fast charging station for electric vehicles
یک استراتژی شارژ پویا با ایستگاه شارژ سریع هیبریدی برای وسایل نقلیه برقی-2020 The popularity of electric vehicles (EV) have been on the rise with technological advancements and environmental concerns. The charging
time and charging demand are important challenges for EV adaptation. In order to address these challenges, a DC fast charging technology
with a dynamic energy management system is proposed in this study. However, DC fast chargers require high power demand periods to reduce
the charging time. This, in turn, will cause negative effects on the grid such as stability, resilience, and efficiency problems. The purpose of the
study is to evaluate a hybrid DC fast charging station with the aim of reducing peak demand during charging periods. The proposed energy
management algorithm together with the dynamic data use provides more reliable results on such systems operations. With the proposed
control algorithm, both peak demand from the grid is substantially reduced by 45% and the battery life span is extended thanks to more
controlled charge/discharge coordination. Keywords: Electric vehicle | fast charging station | demand response | hybrid energy resources | dynamic energy management |
مقاله انگلیسی |
3 |
متریکهایی برای ابر خازنهای سریع بهعنوان دستگاه ذخیره انرژی
سال انتشار: 2018 - تعداد صفحات فایل pdf انگلیسی: 16 - تعداد صفحات فایل doc فارسی: 13 ابر خازنها بهعنوان دستگاههای ذخیره انرژی و جایگزین باتریها مورد بررسی قرار میگیرند، اما عملکرد الکتروشیمیایی آنها معمولاً با معیارهای خازنهای کلاسیک بررسی میشود. ناسازگاری حاصلشده در مقالات موجب سردرگمی در مورد پتانسیلها و محدودیتهای ابر خازنها شده است. اولاً، متوسط چگالی توان یک ابر خازن نمیتواند به طور مستقیم با چگالی توان نسبتاً ثابت باتریهای مشابه مقایسه شود. دوماً، ظرفیت ویژه خازنی، توانایی خازنها برای جداسازی بار با اختلال پتانسیل است و زمانی که بار تحویلشده دارای وابستگی غیرخطی به پتانسیل باشد ظرفیت ذخیرهسازی انرژی را نشان نمیدهد. سوماً، بسیاری از ابر خازنها جدید حتی سریعتر از باتریهای مشابه خود برای توجیه توسعه عملی نیستند، اما این مسئله زیر سپر معیارهای نامناسب دفن میشود. این مقاله مشخص میکند که استفاده از معیارهای مناسب برای ذخیره انرژی میتواند ما را به طراحی سریعتر ابر خازنها برای کاربردهای عملی هدایت کند. |
مقاله ترجمه شده |
4 |
EV fast charging stations and energy storage technologies: A real implementation in the smart micro grid paradigm
ایستگاه های شارژ سریع ev و فن آوری ذخیره سازی انرژی: اجرای واقعی در پارادایم شبکه میکرو هوشمند-2015 In the last years, electric vehicles (EVs) are getting significant consideration as an environmentalsustainable and cost-effective alternative over conventional vehicles with internal combustion engines
(ICEs), for the mitigation of the dependence from fossil fuels and for reduction of Green-House Gasses
(GHGs) emission. However, many challenges are still ongoing to their large scale implementation. Among
them, the negative impact on the electrical grid operation in case of an uncoordinated contemporary
charging of a huge number of EVs. In the recent literature different solutions are proposed for handling
the peak demand of EVs and the related problems. One answer is offered by the implementation of EV
charging strategies, through aggregation agents, for containing the impact on the grid, guaranteeing the
quality ofthe service. The implementation ofa real charging strategy is strictly related to a deployment of
smart-grid technologies, such as smart meters, Information and Communication Technologies (ICTs) and
energy storage systems (ESSs). In particular ESSs are playing a fundamental role in the general smart grid
paradigm, and can become fundamental for the integration in the new power systems of EV fast charging
stations of the last generation: in this case the storage can have peak shaving and power quality functions and also to make the charge time shorter. In the present paper, an overview on the different types
of EVs charging stations, in reference to the present international European standards, and on the storage
technologies for the integration of EV charging stations in smart grid is reported. Then a real implementation of EVs fast charging station equipped with an ESS is deeply described. The system is a prototype,
designed, implemented and now available at ENEA (Italian National Agency for New Technologies, Energy
and Sustainable Economic Development) labs. A wide experimental activity has been performed on the
prototype system in order to test its functionalities in the integration in a smart grid available at the
same ENEA lab, including a smart metering system. The integration has been possible thanks to the use
of a customized communication protocol, developed by the researchers and here described. The results
of the experimental tests show that the system has a good performance in the implementation of peak
shaving functions, in respect of the main distribution grid, making the prototype like a network nearly
zero-impact system.
Keywords:
Charging station
Electric vehicle
Energy storage
ICT
Smart grid |
مقاله انگلیسی |
5 |
Potential power system and fuel consumption impacts of plug in hybrid vehicle charging using Australian National Electricity Market load profiles and transportation survey data
سیستم قدرت و مصرف سوخت اثرات بالقوه از پلاگین در وسیله نقلیه هیبرید شارژ با استفاده از پروفیل های بار بازار ملی برق استرالیا و داده های نظر سنجی حمل و نقل-2014 Future electric vehicle (EV) deployment raises the potential for opportunities and challenges for policy
makers in both the electricity and transportation sectors. This paper describes the development of a sim
ple, time based simulation tool for assessing plug-in hybrid EV charging load and gasoline consumption
under a range of standard charging infrastructure and charge control scenarios. This tool is intended for
use by power system planners and other policy makers in evaluating a range of possible load outcomes
arising from EV integration. Australian vehicle trip data from the New South Wales Household Trans
port Survey is used with the introduced model to assess the impact of EV charging load on the 2011
Australian National Electricity Market load profile. Results are presented which address a gap in existing
literature with respect to EV load profiles in the Australian context with findings which include (1) that
the provision of non-residential (public) charging infrastructure is beneficial for both vehicle owners and
power system load profiles, (2) that fast charging in the residential context represents a significant risk to
the power system if not accompanied by charging control, (3) that inappropriate Time-of-Use electricity
tariffs may lead to poor outcomes at high penetration levels, and (4) that there are trade-offs between
benefits for the power system and the amount of gasoline consumed by the vehicle fleet when charging
is restricted to occur overnight. Given the current focus on Time-of-Use electricity tariffs as the primary
mechanism for influencing EVs recharging, the finding that inappropriate Time-of-Use electricity tariffs
lead to poor outcomes at high penetration levels is significant for long term EV integration planning.
Keywords:
Electric vehicle
EV
Plug in hybrid electric vehicle
Australia
National Electricity Market
Demand forecasting |
مقاله انگلیسی |