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This Special Issue “Grid-to-Vehicle (G2V) and Vehicle-to-Grid (V2G) Technologies” was in session from 1 May 2019 to 31 May 2020. For this Special issue, we invited articles on current state-of-the-art technologies and solutions in G2V and V2G, including but not limited to the operation and control of gridable vehicles, energy storage and management systems, charging infrastructure and chargers, EV demand and load forecasting, V2G interfaces and applications, V2G and energy reliability and security, environmental impacts, and economic benefits as well as demonstration projects and case studies in the aforementioned areas. Articles that deal with the latest hot topics in V2G are of particular interest, such as V2G and demand-side response control technique, smart charging infrastructure and grid planning, advanced power electronics for V2G systems, adaptation of V2G systems in the smart grid, adaptation of smart cities for a large number of EVs, integration, and the optimization of V2G systems, utilities and transportation assets for advanced V2G systems, wireless power transfer systems for advanced V2G systems, fault detection, maintenance and diagnostics in V2G processes, communications protocols for V2G systems, energy management system (EMS) in V2G systems, IoT for V2G systems, distributed energy and storage systems for V2G, transportation networks and V2G, energy management for V2G, smart charging/discharging stations for efficient V2G, environmental and socio-economic benefits and challenges of V2G systems, and building integrated V2G systems (BIV2G). Five manuscripts are published in this Special Issue, including “An Ensemble Stochastic Forecasting Framework for Variable Distributed Demand Loads” by Agyeman et al., “Where Will You Park? Predicting Vehicle Locations for Vehicle-to-Grid, An MPC Scheme with Enhanced Active Voltage Vector Region for V2G Inverter” by Shipman et al., “Electric Vehicles Energy Management with V2G/G2V Multifactor Optimization of Smart Grids” by Xia et al., and “A Review on Communication Standards and Charging Topologies of V2G and V2H Operation Strategies” by Savitti et al.

History of engineering & technology --- vehicle-to-grid (V2G) --- vehicle-to-home (V2H) --- bi-directional charging topologies --- communication standards --- battery cycle --- smart grid --- optimization --- energy management --- electric vehicles --- distributed generation --- MPC --- AV2R --- V2G --- inverter --- vehicle-to-grid --- vehicle location prediction --- automated machine learning --- machine learning --- Bayesian --- deep neural network --- demand load forecast --- distributed load --- ensemble algorithm stochastic --- K-means --- vehicle-to-grid (V2G) --- vehicle-to-home (V2H) --- bi-directional charging topologies --- communication standards --- battery cycle --- smart grid --- optimization --- energy management --- electric vehicles --- distributed generation --- MPC --- AV2R --- V2G --- inverter --- vehicle-to-grid --- vehicle location prediction --- automated machine learning --- machine learning --- Bayesian --- deep neural network --- demand load forecast --- distributed load --- ensemble algorithm stochastic --- K-means

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This Special Issue “Grid-to-Vehicle (G2V) and Vehicle-to-Grid (V2G) Technologies” was in session from 1 May 2019 to 31 May 2020. For this Special issue, we invited articles on current state-of-the-art technologies and solutions in G2V and V2G, including but not limited to the operation and control of gridable vehicles, energy storage and management systems, charging infrastructure and chargers, EV demand and load forecasting, V2G interfaces and applications, V2G and energy reliability and security, environmental impacts, and economic benefits as well as demonstration projects and case studies in the aforementioned areas. Articles that deal with the latest hot topics in V2G are of particular interest, such as V2G and demand-side response control technique, smart charging infrastructure and grid planning, advanced power electronics for V2G systems, adaptation of V2G systems in the smart grid, adaptation of smart cities for a large number of EVs, integration, and the optimization of V2G systems, utilities and transportation assets for advanced V2G systems, wireless power transfer systems for advanced V2G systems, fault detection, maintenance and diagnostics in V2G processes, communications protocols for V2G systems, energy management system (EMS) in V2G systems, IoT for V2G systems, distributed energy and storage systems for V2G, transportation networks and V2G, energy management for V2G, smart charging/discharging stations for efficient V2G, environmental and socio-economic benefits and challenges of V2G systems, and building integrated V2G systems (BIV2G). Five manuscripts are published in this Special Issue, including “An Ensemble Stochastic Forecasting Framework for Variable Distributed Demand Loads” by Agyeman et al., “Where Will You Park? Predicting Vehicle Locations for Vehicle-to-Grid, An MPC Scheme with Enhanced Active Voltage Vector Region for V2G Inverter” by Shipman et al., “Electric Vehicles Energy Management with V2G/G2V Multifactor Optimization of Smart Grids” by Xia et al., and “A Review on Communication Standards and Charging Topologies of V2G and V2H Operation Strategies” by Savitti et al.

vehicle-to-grid (V2G) --- vehicle-to-home (V2H) --- bi-directional charging topologies --- communication standards --- battery cycle --- smart grid --- optimization --- energy management --- electric vehicles --- distributed generation --- MPC --- AV2R --- V2G --- inverter --- vehicle-to-grid --- vehicle location prediction --- automated machine learning --- machine learning --- Bayesian --- deep neural network --- demand load forecast --- distributed load --- ensemble algorithm stochastic --- K-means

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This book comprises five peer-reviewed articles covering original research articles on the modeling and simulation of electricity systems for transport and energy storage. The topics include: 1 - Optimal siting and sizing methodology to design an energy storage system (ESS) for railway lines; 2 - Technical–economic comparison between a 3 kV DC railway and the use of trains with on-board storage systems; 3 - How to improve electrical feeding substations, by changing transformer technology and by installing dedicated high-power-oriented storage systems; 4 - Algorithm applied to a vehicle-to-grid (V2G) technology. 5 - Thermal investigation and optimization of an air-cooled lithium-ion battery pack.

History of engineering & technology --- thermal management system --- optimal configuration --- air-cooling --- lithium-ion battery --- electric vehicles (EVs) --- photovoltaic (PV) systems --- vehicle-to-grid (V2G) --- smart grids (SGs) --- peak shaving --- amorphous transformer --- energy storage --- failure --- feeding substation --- tramway --- optimization --- energy storage system (ESS) --- siting --- sizing --- regenerative braking --- particle swarm optimization (PSO) algorithm --- net present value (NPV) --- railway network --- railway system --- lithium batteries --- supercapacitor --- Simulink --- catenary-free --- thermal management system --- optimal configuration --- air-cooling --- lithium-ion battery --- electric vehicles (EVs) --- photovoltaic (PV) systems --- vehicle-to-grid (V2G) --- smart grids (SGs) --- peak shaving --- amorphous transformer --- energy storage --- failure --- feeding substation --- tramway --- optimization --- energy storage system (ESS) --- siting --- sizing --- regenerative braking --- particle swarm optimization (PSO) algorithm --- net present value (NPV) --- railway network --- railway system --- lithium batteries --- supercapacitor --- Simulink --- catenary-free

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Electrical power systems are complex networks that include a set of electrical components that allow distributing the electricity generated in the conventional and renewable power plants to distribution systems so it can be received by final consumers (businesses and homes). In practice, power system management requires solving different design, operation, and control problems. Bearing in mind that computers are used to solve these complex optimization problems, this book includes some recent contributions to this field that cover a large variety of problems. More specifically, the book includes contributions about topics such as controllers for the frequency response of microgrids, post-contingency overflow analysis, line overloads after line and generation contingences, power quality disturbances, earthing system touch voltages, security-constrained optimal power flow, voltage regulation planning, intermittent generation in power systems, location of partial discharge source in gas-insulated switchgear, electric vehicle charging stations, optimal power flow with photovoltaic generation, hydroelectric plant location selection, cold-thermal-electric integrated energy systems, high-efficiency resonant devices for microwave power generation, security-constrained unit commitment, and economic dispatch problems.

History of engineering & technology --- electricity markets --- economic dispatch --- optimization --- maximum capacity --- online operation --- power system --- unit commitment --- circuit breaker --- network modeling --- optimal power flow --- wind and solar energies --- gas insulated switchgear --- partial discharges --- electromagnetic wave propagation --- UHF measurement --- Security-Constraint Unit Commitment --- sensitivity factors --- user cuts --- power line communication (PLC) --- energy storage management --- vehicle to grid (V2G) --- smart grid --- multi-objective optimization --- population-based intelligent optimization algorithm --- multi-behavior combination --- algorithm framework --- Economic load dispatch (ELD) --- dragonfly algorithm --- metaheuristic --- particle swarm optimization --- cold-thermal-electricity integrated energy system --- multi-energy complementation --- feasible interval of load rate --- multi-objective --- multi time scales --- optimize operation --- earthing --- earthing system --- optimisation --- Ansys Maxwell --- sensitivity analysis --- touch voltage --- non-linear programming --- security-constrained OPF --- preventive control --- corrective control --- post-contingency overflow --- transmission line --- thermal inertia --- Three-phase optimal power flow --- voltage regulation --- distributed generation --- distribution transformer taps --- linear OPF problem --- shift-factors --- line outage distribution factors --- security-constrained --- corrective formulation --- preventive formulation --- klystron --- IOT --- resotrode --- efficiency --- microwave --- bunching --- computer simulation --- global optimization --- power quality disturbances --- classification --- feature selection --- swarm optimization --- support vector machine --- genetic algorithm --- K-NN algorithm --- decision tree --- S-transform --- optimization techniques --- hydroelectric --- renewable energy --- MCDM --- fuzzy theory --- FANP --- TOPSIS --- quadratically constrained quadratic programming --- contingency constrained optimal power flow --- isolated hybrid microgrid system (IHμGS) --- solar tower (ST) --- biodiesel power generator (BDPG) --- frequency regulation --- butterfly optimization technique (BOA) --- microgrid energy management --- electric vehicle --- microgrid --- energy efficiency

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• Reference Manager
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Electrical power systems are complex networks that include a set of electrical components that allow distributing the electricity generated in the conventional and renewable power plants to distribution systems so it can be received by final consumers (businesses and homes). In practice, power system management requires solving different design, operation, and control problems. Bearing in mind that computers are used to solve these complex optimization problems, this book includes some recent contributions to this field that cover a large variety of problems. More specifically, the book includes contributions about topics such as controllers for the frequency response of microgrids, post-contingency overflow analysis, line overloads after line and generation contingences, power quality disturbances, earthing system touch voltages, security-constrained optimal power flow, voltage regulation planning, intermittent generation in power systems, location of partial discharge source in gas-insulated switchgear, electric vehicle charging stations, optimal power flow with photovoltaic generation, hydroelectric plant location selection, cold-thermal-electric integrated energy systems, high-efficiency resonant devices for microwave power generation, security-constrained unit commitment, and economic dispatch problems.

History of engineering & technology --- electricity markets --- economic dispatch --- optimization --- maximum capacity --- online operation --- power system --- unit commitment --- circuit breaker --- network modeling --- optimal power flow --- wind and solar energies --- gas insulated switchgear --- partial discharges --- electromagnetic wave propagation --- UHF measurement --- Security-Constraint Unit Commitment --- sensitivity factors --- user cuts --- power line communication (PLC) --- energy storage management --- vehicle to grid (V2G) --- smart grid --- multi-objective optimization --- population-based intelligent optimization algorithm --- multi-behavior combination --- algorithm framework --- Economic load dispatch (ELD) --- dragonfly algorithm --- metaheuristic --- particle swarm optimization --- cold-thermal-electricity integrated energy system --- multi-energy complementation --- feasible interval of load rate --- multi-objective --- multi time scales --- optimize operation --- earthing --- earthing system --- optimisation --- Ansys Maxwell --- sensitivity analysis --- touch voltage --- non-linear programming --- security-constrained OPF --- preventive control --- corrective control --- post-contingency overflow --- transmission line --- thermal inertia --- Three-phase optimal power flow --- voltage regulation --- distributed generation --- distribution transformer taps --- linear OPF problem --- shift-factors --- line outage distribution factors --- security-constrained --- corrective formulation --- preventive formulation --- klystron --- IOT --- resotrode --- efficiency --- microwave --- bunching --- computer simulation --- global optimization --- power quality disturbances --- classification --- feature selection --- swarm optimization --- support vector machine --- genetic algorithm --- K-NN algorithm --- decision tree --- S-transform --- optimization techniques --- hydroelectric --- renewable energy --- MCDM --- fuzzy theory --- FANP --- TOPSIS --- quadratically constrained quadratic programming --- contingency constrained optimal power flow --- isolated hybrid microgrid system (IHμGS) --- solar tower (ST) --- biodiesel power generator (BDPG) --- frequency regulation --- butterfly optimization technique (BOA) --- microgrid energy management --- electric vehicle --- microgrid --- energy efficiency --- electricity markets --- economic dispatch --- optimization --- maximum capacity --- online operation --- power system --- unit commitment --- circuit breaker --- network modeling --- optimal power flow --- wind and solar energies --- gas insulated switchgear --- partial discharges --- electromagnetic wave propagation --- UHF measurement --- Security-Constraint Unit Commitment --- sensitivity factors --- user cuts --- power line communication (PLC) --- energy storage management --- vehicle to grid (V2G) --- smart grid --- multi-objective optimization --- population-based intelligent optimization algorithm --- multi-behavior combination --- algorithm framework --- Economic load dispatch (ELD) --- dragonfly algorithm --- metaheuristic --- particle swarm optimization --- cold-thermal-electricity integrated energy system --- multi-energy complementation --- feasible interval of load rate --- multi-objective --- multi time scales --- optimize operation --- earthing --- earthing system --- optimisation --- Ansys Maxwell --- sensitivity analysis --- touch voltage --- non-linear programming --- security-constrained OPF --- preventive control --- corrective control --- post-contingency overflow --- transmission line --- thermal inertia --- Three-phase optimal power flow --- voltage regulation --- distributed generation --- distribution transformer taps --- linear OPF problem --- shift-factors --- line outage distribution factors --- security-constrained --- corrective formulation --- preventive formulation --- klystron --- IOT --- resotrode --- efficiency --- microwave --- bunching --- computer simulation --- global optimization --- power quality disturbances --- classification --- feature selection --- swarm optimization --- support vector machine --- genetic algorithm --- K-NN algorithm --- decision tree --- S-transform --- optimization techniques --- hydroelectric --- renewable energy --- MCDM --- fuzzy theory --- FANP --- TOPSIS --- quadratically constrained quadratic programming --- contingency constrained optimal power flow --- isolated hybrid microgrid system (IHμGS) --- solar tower (ST) --- biodiesel power generator (BDPG) --- frequency regulation --- butterfly optimization technique (BOA) --- microgrid energy management --- electric vehicle --- microgrid --- energy efficiency