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This book covers the technological progress and developments of a large-scale wind energy conversion system along with its future trends, with each chapter constituting a contribution by a different leader in the wind energy arena. Recent developments in wind energy conversion systems, system optimization, stability augmentation, power smoothing, and many other fascinating topics are included in this book. Chapters are supported through modeling, control, and simulation analysis. This book contains both technical and review articles.
doubly-fed induction generator --- fault current limiters --- power system --- power smoothing --- fault characteristics --- prediction intervals --- wind forecast --- PI controller --- transmission line --- wake effect --- real fault cases --- reliability of electricity supplies --- load frequency control --- optimization --- reserve power --- battery energy storage system --- wind turbine allocation --- primary frequency control --- low voltage ride through (LVRT) --- de-loading --- fault ride-through --- fault diagnosis and isolation --- fractional order proportional-integral-differential controller --- multi-objective artificial bee colony algorithm --- Fault Ride Through (FRT) --- distance protection --- droop curve --- Distribution Static VAr Compensator(D-SVC) --- Distributed-Flexible AC Transmission system (D-FACTS) --- rotor inertia --- power wind turbine --- LPV observer --- doubly fed induction generator (DFIG) --- squirrel cage induction generator (SCIG) --- wind farm --- optimal control --- fuzzy logic controller (FLC) --- wind power forecasting --- wavelet neural network --- DFIG-based wind farm --- permanent magnet synchronous generator --- automatic generation control --- series dynamic braking resistor --- hardware-in-the-loop --- superconductor --- Distribution Static Synchronous Compensator (D-STATCOM) --- control wind turbine --- kinetic energy storage --- multiple sensor faults --- large-scale wind farm
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Power converters and electric machines represent essential components in all fields of electrical engineering. In fact, we are heading towards a future where energy will be more and more electrical: electrical vehicles, electrical motors, renewables, storage systems are now widespread. The ongoing energy transition poses new challenges for interfacing and integrating different power systems. The constraints of space, weight, reliability, performance, and autonomy for the electric system have increased the attention of scientific research in order to find more and more appropriate technological solutions. In this context, power converters and electric machines assume a key role in enabling higher performance of electrical power conversion. Consequently, the design and control of power converters and electric machines shall be developed accordingly to the requirements of the specific application, thus leading to more specialized solutions, with the aim of enhancing the reliability, fault tolerance, and flexibility of the next generation power systems.
power systems for renewable energy --- fault-tolerant photovoltaic inverter --- islanding detection --- energy storage system --- DC/AC converter --- voltage-source --- multilevel inverter --- PV systems --- neutral point clamped inverter --- flying capacitor inverter --- cascaded inverter --- renewable energy systems --- ultra-fast chargers --- input-series input-parallel output-series output-parallel multimodule converter --- cross feedback output current sharing --- reflex charging --- digital twin --- doubly-fed induction generator, electrical machines --- finite elements method --- monitoring --- real-time --- wound rotor induction machine --- subsynchronous control interaction --- super-twisting sliding mode --- variable-gain --- doubly fed induction generator --- photovoltaic system --- grid --- sliding mode control --- synergetic control --- fractional-order control --- converter–machine association --- direct drive machine --- Permanent Magnet Vernier Machine --- synchronous generator --- wind energy system for domestic applications --- renewable energy --- adaptive --- fuzzy --- feedback linearization --- photovoltaic (PV) grid inverter --- voltage source inverter (VSI) --- doubly-fed induction generator --- wind power system --- sensorless control --- full order observer --- field oriented control --- grid connected system --- lithium batteries --- los minimization --- Modular Multilevel Converters --- optimization methods
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In this Special Issue, we have several papers related to fuel-cell-based cogeneration systems; the management and control of fuel cell systems; the analysis, simulation, and operation of different types of fuel cells; modelling and online experimental validation; and the environment assessment of cathode materials in lithium-ion battery energy generation systems. A paper which gives a comprehensive review with technical guidelines for the design and operation of fuel cells, especially in a cogeneration system setup, which can be an important source of references for the optimal design and operation of various types of fuel cells in cogeneration systems, can also be found in this Special Issue.
LIBs --- environmental sustainability --- cathode material --- LCA --- wind energy --- fuel cell --- IM --- induction generator --- hybrid system --- mine blast optimizer --- solid oxide fuel cell --- robust model predictive control --- off-line calculation --- control synthesis --- review --- cogeneration --- optimal design --- guidelines --- SOFC --- simulation --- internal reforming --- anode oxidation --- carbon formation --- direct methanol fuel cell --- methanol crossover --- power density --- catalyst --- membrane electrode assembly --- Colebrook equation --- fuel cells --- flow friction factor --- open-cathode --- pressure drop --- symbolic regression --- numerically stabile solution --- roughness --- n/a
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Renewable energies are becoming a must to counteract the consequences of the global warming. More efficient devices and better control strategies are required in the generation, transport, and conversion of electricity. Energy is processed by power converters that are currently the key building blocks in modern power distribution systems. The associated electrical architecture is based on buses for energy distribution and uses a great number of converters for interfacing both input and output energy. This book shows that sliding-mode control is contributing to improve the performances of power converters by means of accurate theoretical analyses that result in efficient implementations. The sliding-mode control of power converters for renewable energy applications offers a panoramic view of the most recent uses of this regulation technique in practical cases. By presenting examples that range from dozens of kilowatts to only a few watts, the book covers control solutions for AC–DC and DC–AC generation, power factor correction, multilevel converters, constant-power load supply, wind energy systems, efficient lighting, digital control implementation, multiphase converters, and energy harvesting. The selected examples developed by recognized specialists are illustrated by means of detailed simulations and experiments to help the reader to understand the theoretical approach in each case considered in the book.
output regulation --- state feedback --- sliding mode control --- DC-DC power converter --- DC-DC converters --- boost converter --- constant power load (CPL) --- fixed switching frequency --- sliding-mode control --- inrush current mitigation --- Induction Electrodeless Fluorescent Lamps (IEFL) --- High-Intensity Discharge Lamps (HID) --- loss-free resistor (LFR) --- two-loop digital control --- buck converter --- input-output linearization --- PWM --- sliding mode --- DC-DC converter --- multiphase converter --- disturbance observer --- electric vehicles --- power-hardware-in-the-loop --- renewable energy systems --- fast dynamic response --- wind energy conversion system --- series-series-compensated wireless power transfer system --- energy harvesting --- isolated SEPIC converter --- high power factor rectifier --- isolated PFC rectifier --- bridgeless rectifier --- DC distribution bus --- microinverter --- sliding mode control (SMC), self-oscillating system --- two cascaded-boosts converters --- decision making --- design concept --- doubly-fed induction generator --- grid-side converter --- harmonic distortion --- multi-objective optimisation --- second-order sliding-mode control --- tuning --- unbalanced voltage --- wind power generation --- harvesting --- inductive transducer --- loss free resistor --- dc-to-dc converter --- DFIG --- adaptive-gain second-order sliding mode --- direct power control --- balanced and unbalanced grid voltage --- Lyapunov-based filter design --- constant power load --- Sliding Mode controlled power module --- zero dynamics stability --- modular multilevel converter --- Lyapunov stability --- dual boost inverter --- step-up inverter --- grid connection --- sliding mode control (SMC) --- power converter --- continuous signal generator --- equivalent control --- AC-DC power converter --- wind energy --- control --- dual-stator winding induction generator --- second order sliding mode
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Power network operators are rapidly incorporating wind power generation into their power grids to meet the widely accepted carbon neutrality targets and facilitate the transition from conventional fossil-fuel energy sources to clean and low-carbon renewable energy sources. Complex stability issues, such as frequency, voltage, and oscillatory instability, are frequently reported in the power grids of many countries and regions (e.g., Germany, Denmark, Ireland, and South Australia) due to the substantially increased wind power generation. Control techniques, such as virtual/emulated inertia and damping controls, could be developed to address these stability issues, and additional devices, such as energy storage systems, can also be deployed to mitigate the adverse impact of high wind power generation on various system stability problems. Moreover, other wind power integration aspects, such as capacity planning and the short- and long-term forecasting of wind power generation, also require careful attention to ensure grid security and reliability. This book includes fourteen novel research articles published in this Energies Special Issue on Wind Power Integration into Power Systems: Stability and Control Aspects, with topics ranging from stability and control to system capacity planning and forecasting.
DFIG --- ES --- virtual inertia control --- capacity allocation --- fuzzy logic controller --- wind power generation --- multi-model predictive control --- fuzzy clustering --- virtual synchronous generator --- doubly fed induction generator --- sub-synchronous resonance --- impedance modeling --- renewable energy sources (RESs) --- regional RoCoF --- model-based operational planning --- linear sensitivity-based method (LSM) --- cumulant-based method (CBM) --- collaborative capacity planning --- distributed wind power (DWP) --- energy storage system (ESS) --- optimization --- variable-structure copula --- Reynolds-averaged Navier–Stokes method --- wind turbine wake model --- 3D aerodynamic model --- turbulence model --- correction modules --- hybrid prediction model --- wavelet decomposition --- long short-term memory --- scenario analysis --- weak grids --- full-converter wind --- active power output --- control parameters --- subsynchronous oscillation --- eigenvalue analysis --- doubly fed induction generator (DFIG) --- wind generation --- frequency control --- artificial neural network (ANN) --- error following forget gate-based long short-term memory --- ultra-short-term prediction --- wind power --- load frequency control (LFC) --- wind farm --- particle swarm optimization --- kinetic energy --- inertial response --- low inertia --- the center of inertia --- frequency response metrics --- wind integration --- PSS/E --- FORTRAN --- electromechanical dynamics --- FCWG dynamics --- strong interaction --- electromechanical loop correlation ratio (ELCR) --- FCWG dynamic correlation ratio (FDCR) --- quasi- electromechanical loop correlation ratio (QELCR) --- permanent magnet synchronous generator (PMSG) --- supercapacitor energy storage (SCES) --- rotor overspeed control --- low voltage ride through (LVRT) --- capacity configuration of SCES --- n/a --- Reynolds-averaged Navier-Stokes method
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This book focuses on the applications of Power Electronics Converters in smart grids and renewable energy systems. The topics covered include methods to CO2 emission control, schemes for electric vehicle charging, reliable renewable energy forecasting methods, and various power electronics converters. The converters include the quasi neutral point clamped inverter, MPPT algorithms, the bidirectional DC-DC converter, and the push–pull converter with a fuzzy logic controller.
allied in-situ injection and production (AIIP) --- CO2 huff and puff --- shale oil reservoirs --- enhanced oil recovery --- renewable energy sources --- forecasting --- Weibull distribution --- neural networks --- optimal economic dispatch --- particle swarm optimization --- distribution network (DN) --- doubly-fed induction generator (DFIG) --- feeder automation (FA) --- compatibility --- adaptive control strategy (ACS) --- coordination technology --- air-cooled condenser --- mechanical draft wet-cooling towers --- hot recirculation rate --- complex building environment --- numerical simulation --- Neutral Point Clamped Z-Source Inverter (NPCZSI) --- shoot-through duty ratio --- modulation index --- voltage gain --- power quality --- dynamic modeling --- DC-DC converter --- electric vehicle (EV) --- charge pump capacitor --- fuzzy logic control --- maximum power point tracking --- photovoltaic --- push pull converter --- off-grid voltage source inverter --- medium voltage distribution network --- switch station --- electric vehicle --- DC–DC converter --- reconfiguration --- orderly charging --- grey wolf optimizer --- electrical harmonics --- harmonic estimation --- total harmonic distortion --- battery energy storage system --- third-harmonic current injection --- high efficiency --- active damping
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Control system engineering is a multidisciplinary discipline that applies automatic control theory to design systems with desired behaviors in control environments. Automatic control theory has played a vital role in the advancement of engineering and science. It has become an essential and integral part of modern industrial and manufacturing processes. Today, the requirements for control precision have increased, and real systems have become more complex. In control engineering and all other engineering disciplines, the impact of advanced mathematical and computational methods is rapidly increasing. Advanced mathematical methods are needed because real-world control systems need to comply with several conditions related to product quality and safety constraints that have to be taken into account in the problem formulation. Conversely, the increment in mathematical complexity has an impact on the computational aspects related to numerical simulation and practical implementation of the algorithms, where a balance must also be maintained between implementation costs and the performance of the control system. This book is a comprehensive set of articles reflecting recent advances in developing and applying advanced mathematics and computational applications in control system engineering.
doubly fed induction generator --- PI tuning --- LCL-filter --- passive damping --- advanced metaheuristics --- Bonferroni–Dunn and Friedman’s tests --- resistance spot welding --- dynamic resistance model --- adaptive control --- energy savings --- adaptive disturbance rejection controller --- hybrid systems --- state constraint --- worm robot --- bio-inspired robots --- Streeter–Phelps model --- fractional-order control --- high observers --- river monitoring --- 3 DOF crane --- convex systems --- fault-tolerant control --- robust control --- qLPV systems --- Takagi–Sugeno systems --- chaos --- synchronization --- FPGA --- UDS --- distillation column heating actuator --- Buck-Boost converter --- Takagi–Sugeno model --- fuzzy observer with sliding modes --- nonlinear optimization --- turbulent flow --- friction factor --- pipe roughness --- minor losses --- PID control and variants --- Intelligent control techniques --- neural control --- brushless DC electric motors --- sensors and virtual instruments --- analysis and treatment of signals --- n/a --- Bonferroni-Dunn and Friedman's tests --- Streeter-Phelps model --- Takagi-Sugeno systems --- Takagi-Sugeno model
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This book presents the latest solutions in fuel cell (FC) and renewable energy implementation in mobile and stationary applications. The implementation of advanced energy management and optimization strategies are detailed for fuel cell and renewable microgrids, and for the multi-FC stack architecture of FC/electric vehicles to enhance the reliability of these systems and to reduce the costs related to energy production and maintenance. Cyber-security methods based on blockchain technology to increase the resilience of FC renewable hybrid microgrids are also presented. Therefore, this book is for all readers interested in these challenging directions of research.
mobile charging station --- electric vehicle --- operational mode --- location-allocation problem --- battery --- capacitor --- differential flatness --- double-layer capacitor --- energy management --- interleaved converter --- nonlinear control --- second order equation --- supercapacitor --- multi-stack --- Polymer Electrolyte Membrane Fuel Cell (PEMFC) --- power electronics --- stability analysis --- microgrid --- LQR-PI control --- grid-tied mode --- current imbalance --- power quality --- genetic algorithms --- renewable energy --- consumer planning --- real-time strategy --- consumption monitoring --- energy storage systems --- renewable energy sources --- dynamic programming --- cascaded multilevel inverter --- photovoltaic --- leakage current --- IoT security --- Internet of Vehicles --- IoV --- connected car --- Blockchain Governance Game --- mixed game --- stochastic model --- fluctuation theory --- 51 percent attack --- double feed induction generator --- grid frequency and amplitude support --- smart grid --- wind technology (WT) --- load frequency control --- optimization issue --- moth flame optimizer (MFO) --- Harris hawks optimizer (HHO) --- fuel economy --- load-following --- switching strategy --- real-time optimization --- fuel cell vehicle --- fuel cell system --- automatic generation control --- controllers --- optimization techniques --- multisource power system --- interconnected power system --- hybrid gravitational with fire fly algorithm --- gravitational search algorithm --- firefly algorithm
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This book focuses on sustainable energy systems. While several innovative and alternative concepts are presented, the topics of energy policy, life cycle assessment, thermal energy, and renewable energy also play a major role. Models on various temporal and geographical scales are developed to understand the conditions of technical as well as organizational change. New methods of modeling, which can fulfil technical and physical boundary conditions and nevertheless consider economic environmental and social aspects, are also developed.
coal-fired power unit --- capacity investment --- energy density --- sensitivity analysis --- fuel --- renewable energy source penetration --- AHP --- torrefaction --- Active Disturbance Rejection Control --- swell effect disturbance --- renewable energy --- resource efficiency --- choice experiment --- pseudo-Huber loss --- integrated model --- Probabilistic Robustness --- sustainable energy --- Energy Life-Cycle Assessment --- hysteresis switching --- areal grey relational analysis --- market power --- photovoltaic with energy storage system --- wind power plants --- power system stability --- alternative energy --- hollow rollers --- efficiency --- generation system scheduling --- energy from biomass --- fuelwood value index --- manufacturing industry --- game theory --- energy modelling --- peach --- grindability --- artificial neural networks control --- sustainability --- large bearings --- levelized cost of energy --- renewable energies --- ash recovery --- thermodynamic cycle concepts --- modified cycle concepts --- HOMER simulation --- low-carbon economy --- energy systems --- fuzzy logic control --- basic plan for long-term electricity supply and demand --- LCOE comparison --- post-harvest --- heating value --- power supply reliability --- Pinus pinaster --- doubly fed induction generator --- willingness to pay --- multilayer perception --- robust optimization --- forecasting model for electricity demand --- transient impact --- uncertainty --- power electronics --- electrostatic devices --- flexibility --- active power harmonics filter --- Monte Carlo --- energy storage systems --- energy costs --- SWOT analysis --- tidal stream generator --- textile industrial sector --- stochastic approach --- deficit --- uncertainty analysis --- rotary reactor --- biomass --- secondary air regulation --- forecasting --- photovoltaic --- electricity --- Internet of Things --- dynamic planning --- fuzzy rough set --- flexible resource --- wind resources --- op-amp --- maximum power point tracking --- nexus concept
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Optimal performance of the electric machine/drive system is mandatory to improve the energy consumption and reliability. To achieve this goal, mathematical models of the electric machine/drive system are necessary. Hence, this motivated the editors to instigate the Special Issue “Mathematical Approaches to Modeling, Optimally Designing, and Controlling Electric Machine”, aiming to collect novel publications that push the state-of-the art towards optimal performance for the electric machine/drive system. Seventeen papers have been published in this Special Issue. The published papers focus on several aspects of the electric machine/drive system with respect to the mathematical modelling. Novel optimization methods, control approaches, and comparative analysis for electric drive system based on various electric machines were discussed in the published papers.
demagnetization --- electric machine --- flux reversal machine --- high-speed electrical machine --- high-speed electrical motor --- Nelder–Mead method --- optimal design --- switched reluctance motor --- direct instantaneous torque control --- numerical analysis --- optimization --- current angle --- design of electric motors --- flux-barriers --- synchronous reluctance motor --- torque ripple --- induction motor --- model predictive --- sensorless --- high performance --- switched reluctance machine --- NSGA-II optimization --- finite element analysis --- direct-drive --- electric machine analysis computing --- interior permanent magnet machine --- mathematical model --- optimal-design --- permanent magnet flux-switching machine --- wind generator --- doubly fed induction generator --- DC-link voltage regulation --- second-order sliding mode control --- extended state observer --- fuzzy gain scheduling --- advanced metaheuristics --- MO-Jaya optimization --- centrifugal pump --- energy efficiency --- parallel pumps --- throttling --- variable speed pump --- synchronous homopolar machine --- synchronous homopolar motor --- traction drives --- traction motor --- high-harmonic injection --- brushless field excitation --- wound field synchronous machines --- Axial flux permanent magnet machine --- 3D FEA --- Genetic algorithm --- hexagonal-shaped PMs --- PM overhang --- brushless topology --- third harmonic flux --- dc offset --- direct-on-line permanent magnet synchronous motor --- direct-on-line synchronous reluctance motor --- permanent magnet motor --- reactive power compensation --- carbon dioxide emissions --- climate change mitigation --- electric motors --- energy conversion --- energy efficiency class --- energy policy and regulation --- energy saving --- sustainable utilization of resources --- synchronous motor --- adaptive control --- MTPA control --- parameter variation --- constraints design --- mining dump truck --- traction drive
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