Plug In Electric Vehicles in Smart Grids

This book focuses on the state of the art in worldwide research on applying optimization approaches to intelligently control charging and discharging of batteries of Plug-in Electric Vehicles (PEVs) in smart grids.

Author: Sumedha Rajakaruna

Publisher: Springer

ISBN: 981287299X

Category: Technology & Engineering

Page: 349

View: 355

This book focuses on the state of the art in worldwide research on applying optimization approaches to intelligently control charging and discharging of batteries of Plug-in Electric Vehicles (PEVs) in smart grids. Network constraints, cost considerations, the number and penetration level of PEVs, utilization of PEVs by their owners, ancillary services, load forecasting, risk analysis, etc. are all different criteria considered by the researchers in developing mathematical based equations which represent the presence of PEVs in electric networks. Different objective functions can be defined and different optimization methods can be utilized to coordinate the performance of PEVs in smart grids. This book will be an excellent resource for anyone interested in grasping the current state of applying different optimization techniques and approaches that can manage the presence of PEVs in smart grids.


Vehicle to Grid

Vehicle-to-Grid: Linking Electric Vehicles to the Smart Grid provides an overview and considers the salient topics of the connection between the stationary grid and electric vehicle (EV) storage.

Author: Junwei Lu

Publisher: IET

ISBN: 1849198551

Category: Science

Page: 270

View: 312

This book explores the connection between the stationary grid and PEV power storage. This book will be of interest to researchers and advanced students in electric vehicles and smart grid technologies, and policy-makers and planners developing smart grid infrastructure and sustainable transport initiatives.


Smart Grid Agent

This study describes a method for programming a plug-in electric vehicle agent that can be used in power system models and in embedded systems implemented in real plug-in electric vehicles.

Author: David Dallinger

Publisher:

ISBN:

Category:

Page:

View: 531

This study describes a method for programming a plug-in electric vehicle agent that can be used in power system models and in embedded systems implemented in real plug-in electric vehicles. Implementing the software in real-life applications and in simulation tools enables research with a high degree of detail and practical relevance. Agent-based programming, therefore, is an important tool for investigating the future power system. To demonstrate the plug-in electric vehicle agent behavior, an optimization algorithm is presented and two battery aging methods as well as their effect on V2G operation are analyzed. Aging costs based on the depth of discharge result in shallow cycles and a strong dependency on driving behavior, because the state-of-charge affects the discharging process. In contrast, aging costs based on energy throughput calculations results in deeper cycles and V2G operation which is less depend-ent on driving behavior.

Vehicles Powered by the Electric Grid

Congress encouraged the modernization of the electricity grid in Smart Grid
provisions that include the deployment and integration of plug - in electric and
hybrid electric vehicles . What kind of infrastructure improvements must we
undertake to ...

Author: United States. Congress. Senate. Committee on Energy and Natural Resources

Publisher:

ISBN:

Category: Electric vehicles

Page: 67

View: 292



The State of Technological Innovation Related to the Electric Grid

of common appliance Smart Grid components down earlier in the cycle . ...
Appliance Cost and Penetration Plug - in Electric Vehicle Charging Infrastructure
and On - Vehicle Smart Grid Communications Technologies Plug - in electric
vehicles ...

Author: United States. Congress. Senate. Committee on Energy and Natural Resources

Publisher:

ISBN:

Category: Electric power distribution

Page: 424

View: 583


Electric Vehicle Smart Grid Integration Load Modeling Scheduling and Cyber Security

The modern world has witnessed the surge of electric vehicles (EVs) driven by government policy worldwide to reduce transportation's dependence on fossil fuels.

Author: Yu-Wei Chung

Publisher:

ISBN:

Category:

Page: 126

View: 632

The modern world has witnessed the surge of electric vehicles (EVs) driven by government policy worldwide to reduce transportation's dependence on fossil fuels. According to (Slowik, 2019), the global EV market has grown sharply with the annual light-duty EV sales surpassing 2 million in 2018, which is about a 70% increase from 2017. The increase in EV population implies the rise in energy demand, and that introduces new challenges to the electricity sector. EV charging load demand in high penetration scenarios, which is foreseen, may lead to stability and quality issues in power grids. Generation capacity and the electricity infrastructure upgrade may be required to address those issues; however, it increases generation costs significantly. The most common EV chargers installed today deliver around 7 kW of power, which is over four times that of an average household power consumption in the US. EV charging load often shows two peaks in a day, one in the morning when people plug in the EV at the workplace and the other in the evening when people get home from work. Without proper energy management for EV charging, the vast power demand due to a large number of plugged-in EVs can stress the electric grid, degrade the electric power quality, and impact the wholesale electricity market. Although an EV battery may store energy up to 80 kWh, which requires more than 10 hours to charge at 7kW from empty, we found that most EVs need only 12 kWh per charge or 1.7 hours at 7 kW to meet daily commute requirement while they stay in the parking garage for a more extended period. This implies that EVs can have considerable time-flexibility for charging, and it is not necessary to start charging right after plugging in, which is likely to result in the charging power add-up. A proper EV charging schedule can well allocate the charging load to prevent power peaks. Therefore, EV charging scheduling can play a significant role in mitigating the adverse effects of vast EV charging demand without upgrading the power grid capacity. To optimize the EV charging schedule while satisfies EVs' charging demand, each EV's stay duration and energy need are essential parameters for the optimization. Those parameters are based on predictions to minimize human intervention. Nonetheless, the uncertainty of EV user behavior poses a challenge to the prediction accuracy. Therefore, this dissertation demonstrates an ensemble machine learning-based method to model and predict the EV loads accurately, thereby improving the performance of EV charging scheduling. On the other hand, this smart EV-grid integration, which requires massive communication, including collecting, transmitting, and distributing real-time data within the network, makes it more susceptible to cyber-physical threats. Potential breaches could not only affect grid operation but also reduce consumers' willingness to adopting EVs over conventional fuel-powered vehicles. This dissertation also presents the vulnerability analysis and risk assessment for a smart EV charging system to develop the countermeasures to secure the network. Also, while it is inevitable that the security has flaws, this dissertation provides a novel anomaly detection approach based on the invariant correlations of different measurements within the EV charging network.


Energy Management Strategies for Electric and Plug in Hybrid Electric Vehicles

This book addresses the practical issues for commercialization of current and future electric and plug-in hybrid electric vehicles (EVs/PHEVs).

Author: Sheldon S. Williamson

Publisher: Springer Science & Business Media

ISBN: 1461477115

Category: Technology & Engineering

Page: 253

View: 214

This book addresses the practical issues for commercialization of current and future electric and plug-in hybrid electric vehicles (EVs/PHEVs). The volume focuses on power electronics and motor drives based solutions for both current as well as future EV/PHEV technologies. Propulsion system requirements and motor sizing for EVs is also discussed, along with practical system sizing examples. PHEV power system architectures are discussed in detail. Key EV battery technologies are explained as well as corresponding battery management issues are summarized. Advanced power electronic converter topologies for current and future charging infrastructures will also be discussed in detail. EV/PHEV interface with renewable energy is discussed in detail, with practical examples.

Defining the Pathway to the California Smart Grid of 2020 for Publicly Owned Utilities

SMUD Smart Grid Project includes a field test of up to 220 plug - in electric
vehicle charging stations to assess their technical performance , vehicle charging
patterns , and effects on electric distribution system operations . The equipment
will ...

Author: Science Applications International Corporation

Publisher:

ISBN:

Category: Distributed generation of electric power

Page: 316

View: 638


Electric Vehicles in Energy Systems

P.S. Moses, S. Deilami, A.S. Masoum, M.A. Masoum, Power quality of smart grids
with plugin electric vehicles considering battery charging profile, in Proceedings
of the 2010 IEEE PES Innovative Smart Grid Technologies Conference Europe ...

Author: Ali Ahmadian

Publisher: Springer Nature

ISBN: 3030344487

Category: Technology & Engineering

Page: 392

View: 826

This book discusses the technical, economic, and environmental aspects of electric vehicles and their impact on electrical grids and energy systems. The book is divided into three parts that include load modeling, integration and optimization, and environmental evaluation. Theoretical background and practical examples accompany each section and the authors include helpful tips and hints in the load modeling and optimization sections. This book is intended to be a useful tool for undergraduate and graduate students, researchers and engineers who are trying to solve power and engineering problems related electric vehicles. Provides optimization techniques and their applications for energy systems; Discusses the economic and environmental perspectives of electric vehicles; Contains the most comprehensive information about electric vehicles in a single source.

Control and Optimization Methods for Electric Smart Grids

In this book, leading experts in power, control and communication systems discuss the most promising recent research in smart grid modeling, control and optimization.

Author: Aranya Chakrabortty

Publisher: Springer Science & Business Media

ISBN: 1461416043

Category: Technology & Engineering

Page: 371

View: 470

In this book, leading experts in power, control and communication systems discuss the most promising recent research in smart grid modeling, control and optimization. The book goes on to the foundation for future advances in this critical field of study.

Electric Vehicles

This book focuses on the latest emerging technologies in electric vehicles (EV), and their economic and environmental impact.

Author: Nil Patel

Publisher: Springer Nature

ISBN: 9811592519

Category: Technology & Engineering

Page: 285

View: 302

This book focuses on the latest emerging technologies in electric vehicles (EV), and their economic and environmental impact. The topics covered include different types of EV such as hybrid electrical vehicle (HEV), battery electrical vehicle (BEV), fuel cell electrical vehicle (FCEV), plug-in hybrid electrical vehicle (PHEV). Theoretical background and practical examples of conventional electrical machines, advanced electrical machines, battery energy sources, on-board charging and off-board charging techniques, and optimization methods are presented here. This book can be useful for students, researchers and practitioners interested in different problems and challenges associated with electric vehicles.



Technologies and Applications for Smart Charging of Electric and Plug in Hybrid Vehicles

This book outlines issues related to massive integration of electric and plug-in hybrid electric vehicles into power grids. Electricity is becoming the preferred energy vector for the next new generation of road vehicles.

Author: Ottorino Veneri

Publisher: Springer

ISBN: 3319436511

Category: Science

Page: 307

View: 172

This book outlines issues related to massive integration of electric and plug-in hybrid electric vehicles into power grids. Electricity is becoming the preferred energy vector for the next new generation of road vehicles. It is widely acknowledged that road vehicles based on full electric or hybrid drives can mitigate problems related to fossil fuel dependence. This book explains the emerging and understanding of storage systems for electric and plug-in hybrid vehicles. The recharging stations for these types of vehicles might represent a great advantage for the electric grid by facilitating integration of renewable and distributed energy production. This book presents a broad review from analyzing current literature to on-going research projects about the new power technologies related to the various charging architectures for electric and plug-in hybrid vehicles. Specifically focusing on DC fast charging operations, as well as, grid-connected power converters and the full range of energy storage systems. These key components are analyzed for distributed generation and charging system integration into micro-grids. The authors demonstrate that these storage systems represent effective interfaces for the control and management of renewable and sustainable distributed energy resources. New standards and applications are emerging from micro-grid pilot projects around the world and case studies demonstrate the convenience and feasibility of distributed energy management. The material in this unique volume discusses potential avenues for further research toward achieving more reliable, more secure and cleaner energy.


Site Selection

One , companies typically need to integrate their technology with others in order
for it to work — plugin vehicles require a ... Project Plug - IN is a commercial scale
test of plug - in electric vehicles and smart grid technology to see if the system ...

Author:

Publisher:

ISBN:

Category: Industrial location

Page:

View: 692