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Grid Optimal Integration Of Electric Vehicles Examples With Matlab Implementation
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Book Synopsis Grid Optimal Integration of Electric Vehicles: Examples with Matlab Implementation by : Andrés Ovalle
Download or read book Grid Optimal Integration of Electric Vehicles: Examples with Matlab Implementation written by Andrés Ovalle and published by Springer. This book was released on 2018-02-04 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a compilation of recent research on distributed optimization algorithms for the integral load management of plug-in electric vehicle (PEV) fleets and their potential services to the electricity system. It also includes detailed developed Matlab scripts. These algorithms can be implemented and extended to diverse applications where energy management is required (smart buildings, railways systems, task sharing in micro-grids, etc.). The proposed methodologies optimally manage PEV fleets’ charge and discharge schedules by applying classical optimization, game theory, and evolutionary game theory techniques. Taking owner’s requirements into consideration, these approaches provide services like load shifting, load balancing among phases of the system, reactive power supply, and task sharing among PEVs. The book is intended for use in graduate optimization and energy management courses, and readers are encouraged to test and adapt the scripts to their specific applications.
Book Synopsis Electric Vehicle Integration via Smart Charging by : Vahid Vahidinasab
Download or read book Electric Vehicle Integration via Smart Charging written by Vahid Vahidinasab and published by Springer Nature. This book was released on 2022-09-09 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together important new contributions covering electric vehicle smart charging (EVSC) from a multidisciplinary group of global experts, providing a comprehensive look at EVSC and its role in meeting long-term goals for decarbonization of electricity generation and transportation. This multidisciplinary reference presents practical aspects and approaches to the technology, along with evidence from its applications to real-world energy systems. Electric Vehicle Integration via Smart Charging is suitable for practitioners and industry stakeholders working on EVSC, as well as researchers and developers from different branches of engineering, energy, transportation, economic, and operation research fields.
Book Synopsis Plug-in Electric Vehicle Grid Integration by : Islam Safak Bayram
Download or read book Plug-in Electric Vehicle Grid Integration written by Islam Safak Bayram and published by Artech House. This book was released on 2017-07-31 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: This authoritative new resource provides a comprehensive introduction to plug-in electric vehicles (PEVs), including critical discussions on energy storage and converter technology. The architecture and models for sustainable charging infrastructures and capacity planning of small scale fast charging stations are presented. This book considers PEVs as mobile storage units and explains how PEVS can provide services to the grid. Enabling technologies are explored, including energy storage, converter, and charger technologies for home and park charging. The adoption of EV is discussed and examples are given from the individual battery level to the city level. This book provides guidance on how to build and design sustainable transportation systems. Optimal arrival rates, optimal service rates, facility location problems, load balancing, and demand forecasts are covered in this book. Time-saving MATLAB code and background tables are included in this resource to help engineers with their projects in the field.
Book Synopsis Energy Efficiency: Innovations: Driving Prosperity, Slashing Emissions by : Henry Kelly
Download or read book Energy Efficiency: Innovations: Driving Prosperity, Slashing Emissions written by Henry Kelly and published by World Scientific. This book was released on 2020-11-06 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: Energy efficiency touches all parts of the economy and lies at the heart of all plausible strategies for addressing climate change. A fascinating range of new technologies and new business models have emerged in the past few years and are rapidly reshaping the field and driving efficiency improvements — many of them completely unexpected.This book provides a fresh look at energy efficiency written in a way that can be interesting to experts and serve as an entry point for novices. With chapters written by recognized experts in their fields of expertise, the book provides readers with a clear perspective on the state-of-the art developments of both new technologies and new approaches to system design and operations in buildings, industry, transportation, and urban design. Strategies for electrification and optimization based on data and powerful algorithms are also explored in depth. The discussion includes new mobility systems, smart buildings, reimagined industrial processes, new materials, and smart grid integration.Related Link(s)
Book Synopsis Optimal Vehicle Grid Integration by : Yingqi Xiong
Download or read book Optimal Vehicle Grid Integration written by Yingqi Xiong and published by . This book was released on 2019 with total page 131 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the increase in electric vehicle (EV) adoption in recent years, the impact of EV charging activity to the power grid has become increasingly significant. Although an EV is considered beneficial to the environment by reducing greenhouse gases, large amounts of un-coordinated EV charging could be detrimental to the power grid and thereby degrade power quality. Recent developments in Vehicle to Grid (V2G) technology has converted an EV to a distributed energy resource (DER). A modern smart grid with intelligent IoT devices, solar generation and battery storage provides additional opportunities but also additional challenges to the grid operator. To alleviate the negative effects of massive EV charging load and turn them into grid assets, the current dissertation performs research in designing and developing optimal EV charging strategies to integrate EVs into the smart power grid. Using the UCLA Smart Grid Energy Research Center (SMERC) smart EV charging network infrastructure as the testbed, data has been collected regarding EV driver charging behavior for five years. Based on historical charging records, both deterministic and generative EV user behavior models are proposed to combine statistical analysis and machine learning to predict day-ahead EV driver itinerary and energy demand. Optimal Vehicle Grid Integration strategy is designed to realize different objectives including EV charging cost minimization, power grid stabilization, computational burden decentralization, increasing convergence speed, mitigating solar over-generation, etc. A distributed optimal bi-directional charging scheduling algorithm with asynchronous converging feature has been designed for load curve flattening; A two-stage optimization and a distributed water-filling algorithm have been developed for aggregating EVs to participate in energy market and demand response program. Both large-scale simulation and real-world implementation are conducted to validate and evaluate the performance of these algorithms. Results show that the proposed distributed optimal bi-directional charging scheduling algorithm is able to flatten power peak load by 35% when implemented in a test-bed located within the parking structure 9 in UCLA. A daily energy cost saving of 18% is achieved when the two-stage optimization algorithm is performed to control the EVs in a parking structure in the Civic Center Garage of the City of Santa Monica to participate in wholesale energy markets. Smart meter data collected in the Santa Monica parking lot shows the proposed charging control algorithm is able to mitigate the solar over-generation in the building by 50% on a daily basis. It can be concluded that our Vehicle Grid Integration strategy is effective in stabilizing power grid load, reducing charging cost and solving solar power over-generation problem. In addition to the development of EV user behavior models and Vehicle Grid Integration strategy, this dissertation also solves practical engineering problems for a scalable, reliable and safe EV bi-directional smart charging infrastructure.
Book Synopsis Optimal Charging Control of Electric Vehicles in Smart Grids by : Wanrong Tang
Download or read book Optimal Charging Control of Electric Vehicles in Smart Grids written by Wanrong Tang and published by Springer. This book was released on 2016-10-14 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the optimal online charging control of electric vehicles (EVs) and battery energy storage systems (BESSs) in smart grids. The ultimate goal is to minimize the total energy cost as well as reduce the fluctuation of the total power flow caused by the integration of the EVs and renewable energy generators. Using both theoretic analysis and data-driven numerical results, the authors reveal the effectiveness and efficiency of the proposed control techniques. A major benefit of these control techniques is their practicality, since they do not rely on any non-causal knowledge of future information. Researchers, operators of power grids, and EV users will find this to be an exceptional resource. It is also suitable for advanced-level students of computer science interested in networks, electric vehicles, and energy systems.
Book Synopsis Electric Vehicle Integration in a Smart Microgrid Environment by : Mohammad Saad Alam
Download or read book Electric Vehicle Integration in a Smart Microgrid Environment written by Mohammad Saad Alam and published by CRC Press. This book was released on 2021-08-19 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: Electric Vehicle Integration in a Smart Microgrid Environment The growing demand for energy in today’s world, especially in the Middle East and Southeast Asia, has been met with massive exploitation of fossil fuels, resulting in an increase in environmental pollutants. In order to mitigate the issues arising from conventional internal combustion engine-powered vehicles, there has been a considerable acceleration in the adoption of electric vehicles (EVs). Research has shown that the impact of fossil fuel use in transportation and surging demand in power owing to the growing EV charging infrastructure can potentially be minimalized by smart microgrids. As EVs find wider acceptance with major advancements in high efficiency drivetrain and vehicle design, it has become clear that there is a need for a system-level understanding of energy storage and management in a microgrid environment. Practical issues, such as fleet management, coordinated operation, repurposing of batteries, and environmental impact of recycling and disposal, need to be carefully studied in the context of an ageing grid infrastructure. This book explores such a perspective with contributions from leading experts on planning, analysis, optimization, and management of electrified transportation and the transportation infrastructure. The primary purpose of this book is to capture state-of-the-art development in smart microgrid management with EV integration and their applications. It also aims to identify potential research directions and technologies that will facilitate insight generation in various domains, from smart homes to smart cities, and within industry, business, and consumer applications. We expect the book to serve as a reference for a larger audience, including power system architects, practitioners, developers, new researchers, and graduate-level students, especially for emerging clean energy and transportation electrification sectors in the Middle East and Southeast Asia.
Book Synopsis STUDY OF MODELING AND OPTIMAL CONTROL OF PLUG-IN ELECTRIC VEHICLES AND THE INTEGRATION WITH SMART GRID by :
Download or read book STUDY OF MODELING AND OPTIMAL CONTROL OF PLUG-IN ELECTRIC VEHICLES AND THE INTEGRATION WITH SMART GRID written by and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract : The rapid development of plug-in electric vehicles (PEV) brings both challenges and opportunities to the power system. This dissertation studies the modeling and optimal control of vehicle-grid integration (VGI) system with the consideration of both grid-side and PEV owners' benefits. First of all, a phasor mode single-phase microgrid with PEVs and PV farm is modeled to study the cost effective optimal control of PEV charging / discharging, and cope with the power balancing problem. The linear programming (LP) and genetic algorithm (GA) are used to obtain optimized charging schedules. The time-of-use (TOU) price and discharge incentive are considered for cost minimization. Secondly, the impacts of the bi-directional power flow on battery degradation are investigated. An energy-throughput battery degradation model is applied to simulate the daily lifetime degradation. Case studies with different battery capacities, depth of discharge, temperature, and charging regime are investigated. Thirdly, a grid-tied charging system that enables both grid-to-vehicle (G2V) and vehicle-to-grid (V2G) is designed using SimPowerSystems in Matlab/Simulink. The bi-directional AC-DC and DC-DC converters are designed with PWM-driven bridges. A predictive current control (PCC) is designed to control the AC-DC converter. The phase-lock loop (PLL) technology and band-stop filter is applied to reduce the total harmonic distortion (THD) on grid current. In the previous studies, the control algorithms are designed base on phasor mode model and validated via offline simulation. To further investigate the optimal power management algorithm for real-time simulation, a detailed power electronics level VGI system is modeled with RT-Lab RTE-drive blocks. The real-time simulations with a rule-based algorithm are conducted in Hardware-In-The-Loop (HIL) enabled OPAL-RT simulator. To deal with a large-scale of PEVs charging, a piecewise consensus-based distributed control is presented to minimize the charging power loss and maximize the utilization of PEVs for V2G services. The graph theory is applied to represent the communication network among neighboring PEVs. A metropolis stochastic matrix is applied to specify the communication topology. Case studies with ten PEVs and one hundred PEVs are conducted and analyzed respectively. In the last, due to the rapid response of PEV batteries to the power change demand, PEVs are coordinated with a dual-level consensus-based frequency control method to support the primary frequency control (PFC). The upper-level control aims to minimize the frequency deviation of multi-area power system, and the lower-level control aims to minimize the frequency regulation cost and battery degradation cost for individual PEVs. The consensus-algorithm is applied to specify the information updating and exchange among neighboring individuals. The simulation with different load change are conducted and studied.
Book Synopsis Smart Grids for Renewable Energy Systems, Electric Vehicles and Energy Storage Systems by : Rajkumar Viral
Download or read book Smart Grids for Renewable Energy Systems, Electric Vehicles and Energy Storage Systems written by Rajkumar Viral and published by CRC Press. This book was released on 2022-10-10 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive reference text discusses simulation with case studies and realworld applications related to energy system models, the large-scale integration of renewable energy systems, electric vehicles, and energy storage systems. The text covers analysis and modeling of the large-scale integration of renewable energy systems, electric vehicles, and energy storage systems. It further discusses economic aspects useful for policy makers and industrial professionals. It covers important topics, including smart grids architectures, wide-area situational awareness (WASA), energy management systems (EMS), demand response (DR), smart grid standardization exertions, virtual power plants, battery degradation modeling, optimization approaches in modeling, and smart metering infrastructure. The book: Discusses the analysis and modeling of the large-scale integration of renewable energy systems, electric vehicles, and energy storage systems Covers issues and challenges encountered in the large-scale integration of electric vehicles, energy storage systems and renewable energy systems into future smart grid design Provides simulation with case studies and real-world applications related to energy system models, electric vehicles, and energy storage systems Discusses the integration of large renewable energy systems, with the presence of a large number of electric vehicles and storage devices/systems Discussing concepts of smart grids, together with the deployment of electric vehicles, energy storage systems and renewable energy systems, this text will be useful as a reference text for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, renewable energy, and clean technologies. It further discusses topics, including electric grid infrastructure, architecture, interfacing, standardization, protocols, security, reliability, communication, and optimal control.
Book Synopsis Plug In Electric Vehicles in Smart Grids by : Sumedha Rajakaruna
Download or read book Plug In Electric Vehicles in Smart Grids written by Sumedha Rajakaruna and published by Springer. This book was released on 2014-11-29 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the recent research advancements in the area of charging strategies that can be employed to accommodate the anticipated high deployment of Plug-in Electric Vehicles (PEVs) in smart grids. Recent literature has focused on various potential issues of uncoordinated charging of PEVs and methods of overcoming such challenges. After an introduction to charging coordination paradigms of PEVs, this book will present various ways the coordinated control can be accomplished. These innovative approaches include hierarchical coordinated control, model predictive control, optimal control strategies to minimize load variance, smart PEV load management based on load forecasting, integrating renewable energy sources such as photovoltaic arrays to supplement grid power, using wireless communication networks to coordinate the charging load of a smart grid and using market price of electricity and customers payment to coordinate the charging load. Hence, this book proposes many new strategies proposed recently by the researchers around the world to address the issues related to coordination of charging load of PEVs in a future smart grid.
Book Synopsis Grid Integration of Electric Mobility by : Johannes Liebl
Download or read book Grid Integration of Electric Mobility written by Johannes Liebl and published by Springer. This book was released on 2016-08-24 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: The UN Climate Change Conference in Paris, with its key topics of global warming and deteriorating air quality, will speed up the advance of electric mobility. CO2-neutral and zero-emission mobility require electricity to be generated from regenerative sources of energy. Power generation from wind and solar energy, however is dependent on the weather and is therefore not stable. The irregularities that occur in nature can result in unacceptable voltage fluctuations in the power grid. For that reason, the availability of highly flexible loads and storage systems is becoming particularly important. Electric vehicles, with their grid-relevant properties as controllable power consumers and electricity storage systems, could help to stabilize future power grids.
Download or read book Vehicle-to-Grid written by Lance Noel and published by Springer. This book was released on 2019-01-04 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book defines and charts the barriers and future of vehicle-to-grid technology: a technology that could dramatically reduce emissions, create revenue, and accelerate the adoption of battery electric cars. This technology connects the electric power grid and the transportation system in ways that will enable electric vehicles to store renewable energy and offer valuable services to the electricity grid and its markets. To understand the complex features of this emergent technology, the authors explore the current status and prospect of vehicle-to-grid, and detail the sociotechnical barriers that may impede its fruitful deployment. The book concludes with a policy roadmap to advise decision-makers on how to optimally implement vehicle-to-grid and capture its benefits to society while attempting to avoid the impediments discussed earlier in the book.
Book Synopsis Advanced Smart Grid Functionalities Based on PowerFactory by : Francisco Gonzalez-Longatt
Download or read book Advanced Smart Grid Functionalities Based on PowerFactory written by Francisco Gonzalez-Longatt and published by Springer. This book was released on 2017-12-29 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book consolidates some of the most promising advanced smart grid functionalities and provides a comprehensive set of guidelines for their implementation/evaluation using DIgSILENT Power Factory. It includes specific aspects of modeling, simulation and analysis, for example wide-area monitoring, visualization and control, dynamic capability rating, real-time load measurement and management, interfaces and co-simulation for modeling and simulation of hybrid systems. It also presents key advanced features of modeling and automation of calculations using PowerFactory, such as the use of domain-specific (DSL) and DIgSILENT Programming (DPL) languages, and utilizes a variety of methodologies including theoretical explanations, practical examples and guidelines. Providing a concise compilation of significant outcomes by experienced users and developers of this program, it is a valuable resource for postgraduate students and engineers working in power-system operation and planning.
Book Synopsis Planning and Design for Intelligent and Secure Integration of Electric Vehicles Into the Smart Grid by : Mohammad Ekramul Kabir
Download or read book Planning and Design for Intelligent and Secure Integration of Electric Vehicles Into the Smart Grid written by Mohammad Ekramul Kabir and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The transition to electric vehicles (EVs) is gaining momentum around the world and government initiatives to accelerate this transition range from major tax exemptions, lower insurance payments to convenient parking incentives at shopping malls. The major drivers for this acceleration are the rising awareness by the public for maintaining a clean environment, reducing pollutant emissions, breaking dependencies on oil, as well as tapping into cleaner sources of energies. EVs acceptance however is hindered by several challenges; among them is their shorter driving range, slower charging rates, and the ubiquitous availability of charging locations, collectively contributing to higher anxieties for EVs drivers. Governments of developed countries as well as major car manufacturers are taking solid steps to address these challenges and set ambitious goals to make EVs the major transportation mode within few years. Consequently, a significant number of EVs is going to connect to the existing smart grid and hence, the load pattern is expecting a paradigm shift. This immense load will challenge the generation, transmission and distribution sector of the grid along with being a potential cyber-physical attack platform. To attain a graceful EV penetration for curtailing GHG emission, along with the socioeconomic initiatives, an extensive research is required, especially to mitigate the range anxiety and ameliorate the load congestion on the grid. As a consequence, to reduce the range anxiety, we present a two-stage solution to provision and dimension a DC fast charging station (CS) network for the anticipated energy demand and that minimizes the deployment cost while ensuring a certain quality of experience for charging e.g., acceptable waiting times and shorter travel distances to charge. This solution also maintains the voltage stability by considering the distribution grid capacity, determining transformers' rating to support peak demand of EV charging and adding a minimum number of voltage regulators based on the impact over the power distribution network. We propose, evaluate and compare two CS network expansion models to determine a cost-effective and adaptive CSs provisioning solution that can efficiently expand the CS network to accommodate future EV charging and conventional load demands. Though an adequate fast charging network may assist to reduce the range anxiety and propel the EV market, catering this large number of EVs using fuel based conventional grid actually shifts the carbon footprint from the transportation sector to the power generation sector. As a consequence, green energy needs to be promoted for EV charging. However, the intermittent behavior of renewable energy (RE) generation challenges to maintain a RE based stand alone CS. In order to address this issue, we consider a photovoltaic(PV) powered station equipped with an energy storage system (ESS), which is assumed to be capable of assigning variable charging rates to different EVs to fulfill their demands inside their declared deadlines at minimum price. To ensure fairness, a charging rate dependent pricing mechanism is proposed to assure a higher price for enjoying a higher charging rate. The PV generation profile and future load request are forecasted at each time slot, to handle the respective uncertainties. Whatever, the energy source is green or not of a CS, a static CS cannot offer the flexibility to charge an EV at any place at any time especially for an emergency case. Fortunately, the bidirectional energy transferring capability between vehicles (i.e., vehicle to vehicle (V2V)) might be a solution to charge an EV at any place and at any time without leaning on a stationary CS. Hence, we assume a market where charging providers each has a number of charging trucks equipped with a larger battery and a fast charger to charge a number of EVs at some particular parking lots. We formulate an integer linear program (ILP) to maximize the number of served EVs by determining the optimal trajectory and schedule of each truck. Owing to its complexity, we implement Dantzig-Wolfe decomposition approach to solve this. However, to build a prolific EV charging ecosystem, all its entities (e.g., EVs, CSs and grid) have to be connected through a communication link and that unveils a new cyber physical attack surface. As a consequence, we exploit the abundance of Electric Vehicles (EVs) to target the stability of the power grid by presenting a realistic coordinated switching attack that initiates inter-area oscillations between different areas of the power grid and assess the dire consequences over the power system. Finally, a back propagation neural network (BPNN) technique is used in a proposed framework to detect such switching attacks before being executed.
Book Synopsis Modeling, Analysis and Coordination of Electric Vehicles Integrating Into the Electric Power Grid by : Diyun Wu
Download or read book Modeling, Analysis and Coordination of Electric Vehicles Integrating Into the Electric Power Grid written by Diyun Wu and published by Open Dissertation Press. This book was released on 2017-01-26 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation, "Modeling, Analysis and Coordination of Electric Vehicles Integrating Into the Electric Power Grid" by Diyun, Wu, 伍迪芸, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: In recent years, since the concept of smart grid rises and the existing power grids are continuously modernized, more and more electric vehicles (EVs) are integrated into the power grid. In the power grid, EVs are expected to provide various energy services, such as spinning reserves, regulation services, optimization services, stability improvement, reactive compensation and grid security. This thesis is to model, analyze and implement these energy services of EVs. Firstly, a multilayer framework of a power system with vehicle-to-grid (V2G) and vehicle-to-vehicle (V2V) operation is proposed. Its fundamental components including batteries, renewable energy sources are modeled for system analysis. Moreover, a general model for multiply purposes is presented. Secondly, based on the modeling of EVs and the power systems, the analysis on frequency regulation and transient stability of the V2G system can be carried out effectively. The objectives of the frequency regulation are to keep the system frequency constant, and eliminate the deviations fast and effectively. While, the transient stability is to observe the performances of the power systems integrated with EVs and superconducting magnetic energy storage (SMES) during emergency cases. The results illustrate that EVs are valuable for improve the frequency and transient stability of the power systems. Finally, the coordination and optimization of the power systems with EVs are studied. Unit commitment involving EVs is analyzed, which uses EVs to replace some expensive generating units to achieve minimum operating cost and emissions. In addition, the optimal sizing of EV aggregations in the distribution power system is conducted to minimize the total power loss. And the individual EV in the aggregations is dispatched to achieve minimum charging cost by satisfying the optimal sized demand and the real-time pricing. The results verified that EVs can be used to achieve optimized goals, such as minimum costs, emissions and losses. DOI: 10.5353/th_b5185933 Subjects: Electric vehicles Smart power grids
Book Synopsis Electric Vehicle Integration into Modern Power Networks by : Rodrigo Garcia-Valle
Download or read book Electric Vehicle Integration into Modern Power Networks written by Rodrigo Garcia-Valle and published by Springer Science & Business Media. This book was released on 2012-11-29 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: Electric Vehicle Integration into Modern Power Networks provides coverage of the challenges and opportunities posed by the progressive integration of electric drive vehicles. Starting with a thorough overview of the current electric vehicle and battery state-of-the-art, this work describes dynamic software tools to assess the impacts resulting from the electric vehicles deployment on the steady state and dynamic operation of electricity grids, identifies strategies to mitigate them and the possibility to support simultaneously large-scale integration of renewable energy sources. New business models and control management architectures, as well as the communication infrastructure required to integrate electric vehicles as active demand are presented. Finally, regulatory issues of integrating electric vehicles into modern power systems are addressed. Inspired by two courses held under the EES-UETP umbrella in 2010 and 2011, this contributed volume consists of nine chapters written by leading researchers and professionals from the industry as well as academia.
Book Synopsis Wireless Grid Integration of Electric Vehicles with Two-Way Power Flow by : Saranga Weerasinghe
Download or read book Wireless Grid Integration of Electric Vehicles with Two-Way Power Flow written by Saranga Weerasinghe and published by . This book was released on 2017 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the emergence of vehicle-to-grid (V2G) and grid-to-vehicle (G2V) concepts, electric vehicles (EVs) have been proposed as energy storage devices for dynamic demand management. Bidirectional contactless grid interfaces, based on inductive power transfer (IPT) technology, are gaining popularity as an attractive solution for V2G and G2V systems. Such systems typically include an AC-DC and DC-AC two-stage energy conversion process with a large electrolytic capacitor to maintain a stiff DC-link. In order to minimize the ripple of the grid current, a large input inductor is also employed. Inclusion of these two energy storage devices leads to an expensive, bulky and less reliable converter system. This thesis proposes a single-phase matrix converter (MC) that directly generates voltages at high frequency from the utility grid to drive resonant networks of the bidirectional contactless interface. An MC is a direct AC-AC converter with inherent bidirectional power flow capabilities. Hence, large energy storage elements are not employed in the proposed MC based bidirectional contactless grid interface. A comprehensive mathematical model that predicts the steady state voltages, currents as well as the power drawn from the mains grid is developed to gain an insight into the operation of the proposed MC based interface. Utilizing the mathematical model, a modulation strategy is also proposed to attenuate low order harmonics in the grid current. Experimental results, obtained from a 1 kW prototype, show excellent agreement with those obtained from the mathematical model, validating the accuracy of the mathematical model. Experimental results of total harmonic distortion (THD), power factor, active power delivery and efficiency have been presented to evaluate the performance of the MC. A three-phase to single-phase matrix converter (TSMC) based bidirectional contactless grid interface is also proposed in this thesis for high power EV charging and discharging applications. Simulation results of voltages, currents of converters and grid currents, obtained from a 10 kW MATLAB/Simulink model, are presented to demonstrate the feasibility of the proposed contactless grid interface. As an alternative to MCs, which employ complex commutation algorithms, a single-phase bidirectional contactless grid interface without a DC-link capacitor and an input inductor is also proposed. The proposed grid interfaces consist of two back-to-back connected converters. In contrast to conventional bidirectional grid converters, the proposed grid interface employs a simpler switching strategy with a lower switching frequency. A mathematical model, which predicts the behaviour of the proposed grid interface, is also proposed. The feasibility of the proposed grid interface and the accuracy of the mathematical model are demonstrated through experimental results of a 1.1 kW prototype. Therefore, this thesis contributes to the field of contactless EV charging and discharging by proposing cost effective, flexible and efficient solutions. Such solutions are expected to be beneficial to both electric vehicle users and electric power networks.
