With the emerging nationwide availability of plug-in electric vehicles (PEVs) at prices attainable for many consumers, electric utilities, system operators, and researchers have been investigating the impact of this new source of electricity demand. The presence of PEVs on the electric grid might offer benefits equivalent to dedicated utility-scale energy storage systems by leveraging vehicles' grid-connected energy storage through vehicle-to-grid (V2G) enabled infrastructure. Existing research, however, has not effectively examined the interactions between PEVs and the electric grid in a V2G system. To address these shortcomings in the literature, longitudinal vehicle travel data are first used to identify patterns in vehicle use. This analysis showed that vehicle use patterns are distinctly different between weekends and weekdays, seasonal interactions between vehicle charging, electric load, and wind generation might be important, and that vehicle charging might increase already high peak summer electric load in Texas. Subsequent simulations of PEV charging were performed, which revealed that unscheduled charging would increase summer peak load in Texas by approximately 1\%, and that uncertainty that arises from unscheduled charging would require only limited increases in frequency regulation procurements. To assess the market potential for the implementation of a V2G system that provides frequency regulation ancillary services, and might be able to provide financial incentives to participating PEV owners, a two-stage stochastic programming formulation of a V2G system operator was created. In addition to assessing the market potential for a V2G system, the model was also designed to determine the effect of the market power of the V2G system operator on prices for frequency regulation, the effect of uncertainty in real-time vehicle availability and state-of-charge on the aggregator's ability to provide regulation services, and the effect of different vehicle characteristics on revenues. Results from this model showed that the V2G system operator could generate revenue from participation in the frequency regulation market in Texas, even when subject to the uncertainty in real-time vehicle use. The model also showed that the V2G system operator would have a significant impact on prices, and thus as the number of PEVs participating in a V2G program in a given region increased, per-vehicle revenues, and thus compensation provided to vehicle owners, would decline dramatically. From these estimated payments to PEV owners, the decision to participate in a V2G program was analyzed. The balance between the estimated payments to PEV owners for participating in a V2G program and the increased probability of being left with a depleted battery as a result of V2G operations indicate that an owner of a range-limited battery electric vehicle (BEV) would probably not be a viable candidate for joining a V2G program, while a plug-in hybrid electric vehicle (PHEV) owner might find a V2G program worthwhile. Even for a PHEV owner, however, compensation for participating in a V2G program will provide limited incentive to join. / text

Transportation and energy play an essential role in modern society. Since the Industrial Revolution, fossil fuels have enabled great advancements in human society. Within this process, Internal Combustion Engines Vehicles (ICEVs) played a significant role in guaranteeing reliable and affordable long-distance transportation. However, the subsequent increase of the Motorized Private Transport resulted in undesired effects such as pollution. One instrument in reducing the Greenhouse Gas (GHG) emissions of the transport sector is to shift from the conventional ICEVs toward zero local emission vehicles. Electric Vehicles (EVs) are being promoted worldwide as a suitable powertrain technology that could replace the ICEVs. However, unless combined with electricity from renewable generation technologies the EVs will not effectively reduce GHG emissions. Through the simulation of future transport and energy sector scenarios in Germany, the GHG emission reductions have been analyzed. Techno-economic and environmental characteristics for several powertrain technologies under several vehicles charging strategies are evaluated. The thesis explores the impact of charging EVs on the electrical grid. The result show that EVs using smart charging strategies that support Vehicle-to-grid (V2G) are capable of fulfilling mobility needs of users while providing substantial flexibility to the electrical grid. Such flexibility can facilitate the future expansion of non-dispatchable Renewable Energy Sources (RES).

The effects of businesses all over the globe on social issues like climate change have caused an increasing demand for those businesses to take responsibility for their actions. While corporate social responsibility has been concerned with such topics for a while, the more recent concept of ‘creating shared value’ aims to have a more justified approach in a way that it provides economic value for the implementing company while also targeting social issues simultaneously. Still, specific tools helping companies to implement initiatives that create shared value are missing.Multinational large-fleet operators, such as logistics companies or car rental services, are considered to contribute a significant share to the earlier mentioned social issue of climate change. With the rising adoption of electric vehicles by such large-fleet operators, the concept of Vehicle-to-Grid is identified as a way for multinational large-fleet operators to create shared value. Vehicle-to-Grid is a technology that promises to help increase the utilisation of renewable energy sources, thereby helping to tackle climate change. Since the concepts of creating shared value and Vehicle-to-Grid have not been combined so far, a research gap was identified. Therefore, this research aims to answer the questions of how Vehicle-to-Grid can create shared value for multinational large-fleet operators and how expected results of that implementation can be measured for the implementing company, society and other considered stakeholders.Empirical data is collected by qualitatively interviewing organisations that have been involved in Vehicle-to-Grid related projects and is analysed with the help of a conceptual framework that the authors developed. The conclusion of this study closes the identified research gap and contributes to the theory of how shared value initiatives can be implemented. The research suggests that for multinational large-fleet operators, shared value creation by implementing Vehicle-to-Grid could be achieved by redefining productivity in the value chain and enable local cluster development. Additionally, the research gives implications on how progress for all considered parties can be measured and suggests managerial and policy implications that would help to define Vehicle-to-Grid business cases in the future.

Indiana University-Purdue University Indianapolis (IUPUI) / With the rapid growth of technology, scientists are trying to find ways to make the world a more efficient and eco-friendly place. The research and development of electric vehicles suddenly boomed since natural resource are becoming very scarce. The significance of an electric vehicle goes beyond using free energy, it is environ- mental friendly. The objective of this thesis is to understand what Vehicle to Grid Communication (V2G) for an electric vehicle is, and to implement a model of this highly efficient system into a Hybrid Petri Net. This thesis proposes a Hybrid Petri net modeling of Vehicle to Grid (V2G) Communication topology. Initially, discrete, continuous, and hybrid Petri net's are defined, familiarized, and exemplified. Secondly, the Vehicle and Grid side of the V2G communication system is introduced in detail. The modeling of individual Petri nets, as well as their combination is discussed thoroughly. Thirdly, in order to prove these systems, simulation and programming is used to validate the theoretical studies. A Matlab embedded simulation program known as SimHPN is used to simulate specific scenario's in the system, which uses Depth-first Search (DFS) Algorithm. In addition to SimHPN simulation program, Matlab program is made to output four levels of the reachability tree as well as specifying duplicate and terminate nodes. This code incorporates a technique known as Breadth-first Search (BFS) Algorithm.

The functionality to both charge and discharge energy from and to the power grid to a Battery Electric Vehicle (BEV) is referred to as Vehicle-to-Grid (V2G). This allows the customer to buy energy when the spot price is low and sell energy when the price is high to make a profit, called energy arbitrage. However, when the battery is charging, discharging, or idling for storage, battery degradation occurs due to chemical properties and reactions. This thesis developed a mathematical optimisation model in Python, using the modelling language Pyomo. Mathematical equations are used to integrate energy arbitrage and degradation data to reduce the total cost in terms of degradation and energy by finding an optimised charge and discharge pattern. The model allows different user scenarios to be analysed by changing inputs such as charger power, battery cost or daily driving distance. When using V2G technology, the State-of-Charge (SoC) level of BEVs battery packs can be adjusted to find SoC levels which minimise the battery degradation, while allowing the user to make a profit from energy arbitrage. The result shows that the V2G charging protocol, compared to protocols without a bidirectional charger could be beneficial for the simulated time periods, by both reducing degradation and the total energy cost. The results also indicate that the degradation cost of the battery is often the determining factor in the decision of when to charge or discharge, i.e., the substantial cost-saving strategy is to control the storage and cycle degradation to reduce the total degradation, rather than controlling the energy arbitrage. The model and the result of this thesis can be used by car manufacturers to learn more about how battery cell types behave in V2G mode and influence further work on V2G control.

This dissertation studies a framework in support electric vehicle (EV) charging station expansion and management decisions. In the first part of the dissertation, we present mathematical model for designing and managing electric vehicle charging stations, considering both long-term planning decisions and short-term hourly operational decisions (e.g., number of batteries charged, discharged through Battery-to-Grid (B2G), stored, Vehicle-to-Grid (V2G), renewable, grid power usage) over a pre-specified planning horizon and under stochastic power demand. The model captures the non-linear load congestion effect that increases exponentially as the electricity consumed by plugged-in EVs approaches the capacity of the charging station and linearizes it. The study proposes a hybrid decomposition algorithm that utilizes a Sample Average Approximation and an enhanced Progressive Hedging algorithm (PHA) inside a Constraint Generation algorithmic framework to efficiently solve the proposed optimization model. A case study based on a road network of Washington, D.C. is presented to visualize and validate the modeling results. Computational experiments demonstrate the effectiveness of the proposed algorithm in solving the problem in a practical amount of time. Finding of the study include that incorporating the load congestion factor encourages the opening of large-sized charging stations, increases the number of stored batteries, and that higher congestion costs call for a decrease in the opening of new charging stations. The second part of the dissertation is dedicated to investigate the performance of a collaborative decision model to optimize electricity flow among commercial buildings, electric vehicle charging stations, and power grid under power demand uncertainty. A two-stage stochastic programming model is proposed to incorporate energy sharing and collaborative decisions among network entities with the aim of overall energy network cost minimization. We use San Francisco, California as a testing ground to visualize and validate the modeling results. Computational experiments draw managerial insights into how different key input parameters (e.g., grid power unavailability, power collaboration restriction) affect the overall energy network design and cost. Finally, a novel disruption prevention model is proposed for designing and managing EV charging stations with respect to both long-term planning and short-term operational decisions, over a pre-determined planning horizon and under a stochastic power demand. Long-term planning decisions determine the type, location, and time of established charging stations, while short-term operational decisions manage power resource utilization. A non-linear term is introduced into the model to prevent the evolution of excessive temperature on a power line under stochastic exogenous factors such as outside temperature and air velocity. Since the re- search problem is NP-hard, a Sample Average Approximation method enhanced with a Scenario Decomposition algorithm on the basis of Lagrangian Decomposition scheme is proposed to obtain a good-quality solution within a reasonable computational time. As a testing ground, the road network of Washington, D.C. is considered to visualize and validate the modeling results. The results of the analysis provide a number of managerial insights to help decision makers achieving a more reliable and cost-effective electricity supply network.

The recent increase of electric cars adoption will inuence the electricity demand in the distributionnetworks which risks to be higher than the maximum power available in the grid, if not well planned. Forthis reason, it is on the DSOs and TSOs's interest to plan carefully coordinated charging of a bulk of EVsas well as assess the possibility of EVs acting as energy storages with the Vehicle-to-Grid (V2G) or Vehicleto-Building (V2B) capability. When parked and plugged into the electric grid, EVs will absorb energy andstore it, being also able to deliver electricity back to the grid/building (V2G/B system).This can be anoptimized process, performed by an aggregator, gathering multiple EVs that discharge the battery into thegrid at peak time and charge when there is low demand i.e. overnight and o-peak hours.Numerous studies have investigated the possibility of aggregating multiple EVs and optimizing theircharging and discharging schedules for peak load reduction or energy arbitrage with participation in theelectricity market. However, no study was found for optimizing a shared eet of EVs with daily reservationsfor dierent users trying to perform V2B. In this study an optimization modelling algorithm (mixed integerlinear problem - MILP) that manages the possible reservations of the shared eet of EVs, coordinates thecharging and discharging schedules, and provides V2B (Vehicle-to-Building), with the objective of minimizingenergy costs and accounting with battery ageing has been developed. A case study with real data for abuilding is carried out modelling dierent number of EVs for two dierent days in year 2017, one in Marchand other in June.Results show that the prots are higher for all cases when introducing V2B as compared to a no optimizationscenario: V2B with battery degradation (50 ore/kWh) has decreased daily variable electricity costsbetween 54 and 59% in March and 60 and 63% for June when compared without smart charging. Integrationof battery degradation cost in V2B applications is necessary and inuences signicantly the chargingand discharging strategies adopted by EV and nally the total daily costs: The total daily cost increaseby maximal 10% for the day in March and 13% for the day in June when comparing the scenario that hasstationary battery and uses only-charging model for EVs with the scenario applying V2B mode consideringa degradation cost of 80 ore/kWh. / Ö kningen av antalet elbilar kommer att påverka lasten i elnätet som riskerar att bli högre än kapacitetom det inte är väl planerat. Därför är det i elnätsföretags intresse att samordna laddningen av de flesta elbilarna samt att utvärdera möjligheterna att använda elbilar som energilager gentemot elnätet (Vehicleto-Grid,V2G) eller byggnader (Vehicle-to-Building, V2B). Vid parkering och anslutning till elnätet kommer elbilar att ladda energi och lagra den, samtidigt de kan leverera el tillbaka till elnätet eller byggnaden (V2G/V2B). Detta kan vara en optimerad process som utförs av en aggregator genom att ladda flera elbilar i låglasttimmar och ladda ur dem under höglasttimmar.Många studier har undersökt möjligheten att aggregera flera elbilar och optimera laddningsoch urladdningsplaner för topplastreduktion eller energiarbitrage på elmarknaden. Ingen studie har dock hittats för att optimera en gemensam flotta av elbilar med dagliga reservationer för olika användare som försöker utföra V2B. Denna studie har utvecklat en optimeringsmodell (blandad heltalsprogrammering MILP) som hanterar möjliga reservationer av en flotta av elbilar, koordinerar laddning och urladdning planering, och utför V2B för att minimera energikostnader med hänsyn till batteriets åldrande. En fallstudie för en byggnad genomfördes modellering av olika antal elbilar för två dagar 2017, en i mars och andra i juni.Resultaten visar att vinsten är högre i samtliga fall då man introducerar V2B jämfört med scenario utan optimering: V2B med batteriladdningskostnad 50 öre/kWh minskade dagliga rörliga elkostnader mellan 54% och 59% i mars och mellan 60% och 63% i juni jämfört med utan smart laddning. Att inkludera batteriladdningskostnaden i V2B-applikationer är nödvändigt och har en signifikant inverkan på laddningsstrategierna och de totala kostnaderna: De totala dagliga kostnaderna ökar med upp till 10% i mars och upp till 13% i juni då man jämför scenariot att bara ladda elbilar och ha stationärt batteri med scenariot V2B med hänsyntill batteriladdningskostnad 80 öre/kWh.

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Transportsektorn står i dagsläget för cirka en tredjedel av alla växthusgasutsläpp inom Sverige. För att arbeta i linje med Parisavtalet har Sveriges riksdag därmed beslutat att dessa utsläpp ska minska med 70 procent fram till år 2030, relativt de nivåer som uppmättes år 2010. För att uppnå målet och klara klimatomställningen, arbetar man bland annat med att påskynda elektrifieringen av transporter. Detta skulle kunna innebära stora utmaningar för det svenska elnätet, eftersom man inte byggt ut ledningar i samma takt som elbehovet har ökat. I Stockholm har det därför uppstått kapacitetsbrist, som innebär att man inte kan tillgodose regionen med el vid alla tidpunkter under året. Samtidigt kommer man inte kunna bygga ut nya ledningar till Stockholm förrän vi når cirka år 2030.  Syftet med denna studie, är att undersöka hur elektrifieringen av personbilsflottan kan komma att påverka regionnätet i Stockholm år 2030, där det redan idag råder kapacitetsbrist. Metoden som används är baserad på scenariometodik där både kvantitativa och kvalitativa data används för att konstruera två olika huvudscenarion, ett lågscenario där personbilsflottan elektrifieras långsamt och ett högscenario där personbilsflottan elektrifieras snabbt. Genom att utforska hur elbehovet skulle kunna utvecklas fram till år 2030 på timbasis för dessa scenarion, görs en uppskattning över hur många timmar om året som det skulle kunna råda kapacitetsbrist, samt hur stor effektbristen blir vid dessa tillfällen, om allt elbehov ska kunna tillgodoses. Vidare undersöks om även flexibilitetsresurser i hemmaladdningen, kan påverka hur många timmar det råder kapacitetsbrist och hur korrelation ser ut mellan antalet laddbara bilar och kapacitetsbrist.  Resultatet från studien visar att elektrifieringen av personbilsflottan kan leda till stora ansträngningar på elnätet om användare laddar utifrån egna preferenser och därmed okontrollerat, eftersom laddningen sannolikt sammanfaller med tider på dygnet när elbehovet redan är som störst. Vidare ökar antalet timmar med kapacitetsbrist proportionellt mot hur många personbilar som elektrifieras. När flexibilitetsresurser integreras i hemmaladdningen, minskar ansträngningen på elnätet dock betydligt. Att öka incitamenten för att människor ska ändra sina beteenden gällande laddning, kan därmed positiva effekter på elnätet. Men även om flexibilitetresurser integreras i hemmaladdningen, på det sätt som har antagits genomföras i denna studie, visar resultatet att det fortfarande kan uppstå kapacitetsbrist. Det finns därmed fortfarande en risk för att elektrifieringen av personbilsflottan skulle kunna försenas. / The transport sector currently accounts for about a third of all greenhouse gas emissions in Sweden. To work in line with the Paris Agreement, it has thus been decided that these emissions should be reduced by 70 percent by 2030, relative to the levels measured in 2010. To achieve this goal and cope with climate change, the Swedish parliament is, among other things, currently working towards accelerating the electrification of transports. This, in turn, could result in major challenges for the Swedish electricity grid, as power lines have not been expanded at the same rate as the need for electricity has increased. In Stockholm, it has become a problem with a lack of capacity, which means that it is not possible to satisfy the region with electricity at all times of the year. Meanwhile, it will not be possible to expand new power lines to Stockholm until we reach around the year 2030.  The purpose of this study is to investigate how the electrification of the passenger car fleet could affect the regional network in Stockholm when we reach the year 2030. The method that has been used is based on scenario methodology where both quantitative and qualitative data has been used to construct two different main scenarios. Firstly, a low scenario was constructed, where the passenger car fleet is electrified slowly, and secondly, a high scenario was constructed where the passenger car fleet is electrified rapidly. By examining how the electricity demand could develop until the year 2030 on an hourly basis for these two scenarios, an estimate is made of how many hours a year there could be a lack of capacity and how large the power shortage would be on these occasions if all the electricity demand is to be satisfied. Furthermore, it is also investigated whether flexible resources in the home-charging of electric vehicles can affect how many hours there could be a lack of capacity and what the correlation looks like between the number of electric vehicles and lack of capacity.  The result from the study shows that the electrification of the passenger car fleet can lead to a congested electricity grid if users charge their cars uncontrolled. This, as the charge is likely to coincide with times of the day when the electricity demand already is great. Furthermore, the number of hours with a lack of capacity increases in proportion to the number of passenger cars that are electrified. When flexible resources are integrated into the home-charging, the effort on the power grid is significantly reduced. Increasing the incentives for people to change their behaviours about charging can thus have positive effects on the electricity grid. However, even if flexible resources are integrated into the home charging system, the way it is assumed to be implemented here, the result shows that there may still be a lack of capacity. There is thus still a risk that the electrification of the passenger car fleet will be delayed.

Submitted by Renata Lopes (renatasil82@gmail.com) on 2017-07-21T14:26:57Z No. of bitstreams: 1 marciodocarmobarbosaponciliorodrigues.pdf: 24085481 bytes, checksum: a2ce2552f002816f01354d228d257f85 (MD5) / Approved for entry into archive by Adriana Oliveira (adriana.oliveira@ufjf.edu.br) on 2017-08-09T13:18:07Z (GMT) No. of bitstreams: 1 marciodocarmobarbosaponciliorodrigues.pdf: 24085481 bytes, checksum: a2ce2552f002816f01354d228d257f85 (MD5) / Made available in DSpace on 2017-08-09T13:18:07Z (GMT). No. of bitstreams: 1 marciodocarmobarbosaponciliorodrigues.pdf: 24085481 bytes, checksum: a2ce2552f002816f01354d228d257f85 (MD5) Previous issue date: 2014-11-20 / A gradativa substituição da atual frota de veículos de motor de combustão interna por veículos elétricos (VEs) pode ser vista como um importante fator para a melhoria das condições ambientais nos centros urbanos, uma vez que possibilita a redução das emissões de poluentes atmosféricos nocivos à saúde humana. Os conversores estáticos existentes no sistema de propulsão de veículos puramente elétricos e híbridos "plug-in" podem ser utilizados para funções adicionais, diferentes da tração elétrica. Com poucas adaptações nos circuitos eletrônicos do VE é possível integrar funções como recarga de baterias, geração distribuída de energia elétrica e compensação de reativos. Este tipo de aplicação é particularmente interessante no contexto de redes inteligentes de energia elétrica (smart grids). Esta integração de funcionalidades ao VE, além de permitir a redução de custos e economia de recursos naturais, poderá resultar em retorno financeiro aos proprietários destes veículos pela prestação de serviços auxiliares ao sistema elétrico. Neste trabalho é proposta a utilização de veículos elétricos na compensação de harmônicos de corrente e de potência reativa em instalações elétricas residenciais e comerciais, utilizando o próprio sistema de propulsão do VE para operar como filtro ativo de potência, o que pode ser realizado de forma simultânea à recarga do banco de baterias do VE ou durante seu uso como unidade de geração distribuída de ener-gia elétrica (operação no modo V2G, vehicle-to-grid). Sendo o padrão de conexão de VEs à rede de energia elétrica atualmente adotado pela maior parte dos fabricantes de automóveis elétricos baseado em alimentação monofásica (com possibilidade de alimen-tação bifásica), é explorada, neste trabalho, a utilização de um VE na compensação de cargas monofásicas e bifásicas, em condições típicas de instalações elétricas residenciais e comerciais, de forma compatível a tal padrão. A inclusão desta funcionalidade aos VEs pode contribuir para a redução do impacto da eletrificação veicular no sistema elétrico, pois com a diminuição do fluxo de potência reativa e harmônica na rede elé-trica, torna-se maior a sua capacidade disponível para transporte de potência ativa, facilitando o suprimento de energia a novas cargas (que podem ser os próprios VEs). / The gradual replacement of the current internal combustion engine vehicles by elec-tric vehicles (EVs) comes up as being an important factor to the improvement of urban centers environmental conditions, since it enables reduction on the emissions of atmo-spheric pollutants harmful to human health. Additional tasks, apart from traction, can be performed by battery and plug-in hybrid electric vehicle powertrain on-board power electronic converters. It is possible to integrate functions such as battery charge, electric distributed power generation and reactive power compensation with few modifications on the EV electronics circuitry. This kind of application is especially interesting under the context of smart grids. The integration of these additional functions to an electric vehicle is a very desirable feature, since it can result on cost reduction (in comparison to the separated implementation of the integrated functions) and revenue to the owner of the vehicle by providing ancillary services to the electric power system. This work proposes the application of electric vehicles on the compensation of cur-rent harmonic components and reactive power in residential and commercial electricity networks by means of the integration of a shunt active power filter (APF) into their powertrain electronics circuitry, which can simultaneously operate with the EV bat-tery pack charging or during its use as an electric distributed power generator unit (vehicle-to-grid, V2G, operation mode). Since the EV grid connection standard cur-rently adopted by electric automobiles manufacturers is based on a single-phase power supply system (with a possible two-phase power supply connection), this work focuses on the application of an electric vehicle in the compensation of single-phase and two-phase loads under residential and commercial electricity networks typical conditions, in order to meet the compliance to the requirements of such standard. The inclusion of this functionality to EVs can contribute on the reduction of vehicular electrification impact on the electric power system, since the decrease of reactive and harmonic power flow into the grid results in higher available capacity of active power flow in the power conductors, which allows to supply electricity to new electric loads (that can be the EVs themselves).