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The everincreasing need for higher efficiency, smaller size, and lower cost make the analysis, understanding, and design of energy conversion systems extremely important, interesting, and even imperative. One of the most neglected features in the study of such systems is the effect of the inherent nonlinearities on the stability of the system. Due to these nonlinearities, these devices may exhibit undesirable and complex dynamics, which are the focus of many researchers. Even though a lot of research has taken place in this area during the last 20 years, it is still an active research topic for mainstream power engineers. This research has demonstrated that these systems can become unstable with a direct result in increased losses, extra subharmonics, and even uncontrollability/unobservability. The detailed study of these systems can help in the design of smaller, lighter, and less expensive converters that are particularly important in emerging areas of research like electric vehicles, smart grids, renewable energy sources, and others. The aim of this Special Issue is to cover control and nonlinear aspects of instabilities in different energy conversion systems: theoretical, analysis modelling, and practical solutions for such emerging applications. In this Special Issue, we present novel research works in different areas of the control and nonlinear dynamics of energy conversion systems.
datadriven  prediction  neural network  airhandling unit (AHU)  supply air temperature  pulverizing system  soft sensor  inferential control  moving horizon estimation  multimodel predictive control  microgrid  droop control  virtual impedance  harmonic suppression  power quality  combined heat and power unit  twostage bypass  dynamic model  coordinated control system  predictive control  decoupling control  power conversion  model–plant mismatches  disturbance observer  performance recovery  offsetfree  electrical machine  electromagnetic vibration  multiphysics  rotor dynamics  air gap eccentricity  calculation method  magnetic saturation  corrugated pipe  whistling noise  Helmholtz number  excited modes  switched reluctance generator  capacitance current pulse train control  voltage ripple  capacitance current  feedback coefficient  distributed architecture  maximum power point tracking  sliding mode control  overvoltage  permanent magnet synchronous motor (PMSM)  single artificial neuron goal representation heuristic dynamic programming (SANGrHDP)  single artificial neuron (SAN)  reinforcement learning (RL)  goal representation heuristic dynamic programming (GrHDP)  adaptive dynamic programming (ADP)  sliding mode observer (SMO)  permanent magnet synchronous motor (PMSM)  extended back electromotive force (EEMF)  position sensorless  bridgeless converter  discontinuous conduction mode (DCM)  high stepup voltage gain  power factor correction (PFC)  space mechanism  multiclearance  nonlinear dynamic model  planetary gears  vibration characteristics  new stepup converter  ultrahigh voltage conversion ratio  smallsignal model  averagecurrent mode control  slope compensation  monodromy matrix  current mode control  boostflyback converter  explosionmagnetic generator  plasma accelerator  currentpulse formation  DCDC buck converter  contraction analysis  global stability  matrix norm  DC micro grid  efficiency optimization  variable bus voltage MG  variable switching frequency DCDC converters  centralized vs. decentralized control  local vs. global optimization  buck converter  DC motor  bifurcations in control parameter  sliding control  zero average dynamics  fixedpoint inducting control  DCDC converters  quadratic boost  maximum power point tracking (MPPT)  nonlinear dynamics  subharmonic oscillations  photovoltaic (PV)  steel catenary riser  rigid body rotation  wave  the load of suspension point in the z direction  Cable3D
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This book is a contribution from the authors, to share solutions for a better and sustainable power grid. Renewable energy, smart grid security and smart energy management are the main topics discussed in this book.
seawater pumped storage  renewable energy  active distribution networks  twostage  scheduling  distributed generation  storage device  MILP  ToU tariff  optimization  daily consumption curve  peak/offpeak  programmable appliances  smart grid  smart energy  sustainability  values  technology acceptance  technology adoption  smart grid  Smart Grid Station  renewable energy sources  energy management system  smart metering  feedback  households  energy and water consumption  theories of social practice  smart grid  differentiation  development demand  comprehensive evaluation  energy management system  energy storage system  semantic web technologies  rules  ontology  engineering support  smart grid architecture model  model driven architecture  IEC 61850  IEC 61499  energy storage system  electricity charge discount program  peak reduction  economic feasibility analysis  policy effectiveness evaluation  occupant behavior  singleperson household  energy consumption  Korean Time Use Survey  EnergyPlus  data mining  Kmodes clustering  support vector machine  Gaussian process regression  combined dispatch (CD) strategy  optimization  HOMER  net present cost (NPC)  sensitivity analysis  renewable energy  solar power generation prediction  smart grid  photovoltaic power  machine learning  electrical distribution system  graph theory  micro grids  heuristic  optimization  planning  unbalanced threephase distribution networks  optimal power flows  genetic algorithm  holomorphic embedding load flow method  simulation  forecasting  solar generation  storage capacity  game theory  nash equilibrium  distributed energy management algorithm  micro grid  meta heuristic techniques  R&  D planning  patent analysis  sustainable smart grid technology  R&  D strategy  STEEP analysis  scenario planning  electric vehicle charging technology  multilayer perceptron neural network  support vector machine  cyberattacks  optimal power flow  smart grid security  intruder detection system
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Electrical power systems are evolving at the generation, transmission, and distribution levels. At distribution level, small generating and storage units—the socalled distributed energy sources (DERs)—are being installed close to consumption sites. The expansion of DERs is empowering renewable energy source integration and, as a consequence, new actors are appearing in electrical systems. Among them, the prosumer is a gamechanger; the fruit of the behavior transformation of the consumer who has not only the ability to consume power but also to produce it. Microgrids can be understood as DER installations that have the capability of both gridconnected and gridisolated operation. During the last decades, there has been a significant deployment of microgrids (e.g., in countries like the United States, Switzerland, and Denmark) and a consequent increase in renewable energy generation. This is contributing to the decarbonization of electrical power systems. However, the variability and intermittency of renewable sources introduce uncertainty, which implies a more complex operation and control. Taking into account that existing and future planned microgrids are being/going to be interconnected to the current electrical network, challenges in terms of design, operation, and control at power system level need to be addressed, considering existing regulations.
demandside management  optimization  deterministic optimization  stochastic optimization  residential users  devices scheduling  renewable sources  storage systems  electric energy market  power quality  chaos synchronization detection  extension theory  direct search method (DSM)  microgrid (MG)  distributed energy resources (DERs)  distributed generation (DG)  optimal dispatch  microgrids  multiagent  coordinated control  IEC 61850 Standard  generic object oriented substation event (GOOSE) communication  power quality disturbances  Stransform  multiresolution  particle swarm optimization  decision tree  reliability evaluation  microgrid  distributed generation  battery storage  vehicletogrid  ruleless EV  regular EV  combined power generation system  microgrid  coordinative optimization of energy  predictive control  genetic algorithm  distributed generation (DG)  microgrid  microgrid stability controller (MSC)  total slidingmode control  hierarchical control scheme  maximum electrical efficiency  nonlinear programming  solid oxide fuel cell  electric vehicle (EV)  vehicletogrid (V2G)  isolated grid  load frequency control (LFC)  multivariable generalized predictive control (MGPC)  current harmonic reduction  active filter  power quality  buckboost converter  renewable energy source  optimal capacity  reliability  renewable  energy storage  genetic algorithm  DC microgrid  communication delay  droop control  load power sharing  mesh configuration  radial configuration  electric vehicle  energy management system  peakshift  peakcut  vehicle information system  photovoltaic feasibility  flexible generation  distributed energy resources  power quality  DC distribution  DC microgrid  inrush current  grounding  DC architectures  datacenter  residential power systems  telecommunication power management  smart grids  microgrid  network planning  power distribution  grid independence  distributed energy resources  microgrid  IEC 61850  plug and play  operation  smallscale standalone microgrid  HESS  ESS effective rate  coordinated control strategy  cost and life  technical and economic optimization  microgrid  flywheel energy storage (FES)  doubly fed induction machine  frequency control  smoothing wind power  distributed generation  congestion problems  mediumvoltage networks  curtailment  flexibility  microgrid test facility  distributed generation  integrated electrical and thermal grids  flexible and configurable architecture  energy efficiency  distributed optimization  optimal power flow  microgrids  embedded system  smart grid  smart inverter  distributed energy resource  power quality
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This book presents an interesting sample of the latest advances in optimization techniques applied to electrical power engineering. It covers a variety of topics from various fields, ranging from classical optimization such as Linear and Nonlinear Programming and Integer and MixedInteger Programming to the most modern methods based on bioinspired metaheuristics. The featured papers invite readers to delve further into emerging optimization techniques and their real application to case studies such as conventional and renewable energy generation, distributed generation, transport and distribution of electrical energy, electrical machines and power electronics, network optimization, intelligent systems, advances in electric mobility, etc.
Cable joint  internal defect  thermal probability density  power system optimization  optimal power flow  developed grew wolf optimizer  energy internet  prosumer  energy management  consensus  demand response  dayahead load forecasting  modular predictor  feature selection  microphasor measurement unit  mutual information theory  stochastic state estimation  twopoint estimation method  JAYA algorithm  multipopulation method (MP)  chaos optimization algorithm (COA)  economic load dispatch problem (ELD)  optimization methods  constrained parameter estimation  extended Kalman filter  power systems  C&I particle swarm optimization  ringdown detection  optimal reactive power dispatch  loss minimization  voltage deviation  hybrid method  tabu search  particle swarm optimization  artificial lighting  simulation  calibration  radiance  GenOpt  street light points  DC optimal power flow  power transfer distribution factors  generalized generation distribution factors  unit commitment  adaptive consensus algorithm  distributed heatelectricity energy management  eight searching subregions  islanded microgrid  dragonfly algorithm  metaheuristic  optimal power flow  particle swarm optimization  CCHP system  energy storage  offdesign performance  dynamic solving framework  battery energy storage system  micro grid  MILP  PCS efficiency  piecewise linear techniques  renewable energy sources  optimal operation  UC  demand bidding  demand response  genetic algorithm  load curtailment  optimization  hybrid renewable energy system  pumpedhydro energy storage  offgrid  optimization  HOMER software  rural electrification  subSaharan Africa  Cameroon  building energy management system  HVAC system  energy storage system  energy flow model  dependability  sustainability  data center  power architectures  optimization  AC/DC hybrid active distribution  hierarchical scheduling  multistakeholders  discrete wind driven optimization  multiobjective optimization  optimal power flow  metaheuristic  wind energy  photovoltaic  smart grid  transformerfault diagnosis  principal component analysis  particle swarm optimization  support vector machine  wind power  integration assessment  interactive load  considerable decomposition  controllable response  SOCP relaxations  optimal power flow  current margins  affine arithmetic  interval variables  optimizingscenarios method  power flow  wind power  active distribution system  virtual power plant  stochastic optimization  decentralized and collaborative optimization  genetic algorithm  multiobjective particle swarm optimization algorithm  artificial bee colony  IEEE Std. 802000  Schwarz’s equation  fuzzy algorithm  radial basis function  neural network  ETAP  distributed generations (DGs)  distribution network reconfiguration  runnerroot algorithm (RRA)  interturn shortedcircuit fault (ISCF)  strong track filter (STF)  linear discriminant analysis (LDA)  switched reluctance machine (SRM)  charging/discharging  electric vehicle  energy management  genetic algorithm  intelligent scatter search  electric vehicles  heterogeneous networks  demand uncertainty  power optimization  Stackelberg game  power system unit commitment  hybrid membrane computing  crossentropy  the genetic algorithm based P system  the biomimetic membrane computing  transient stability  twostage feature selection  particle encoding method  fitness function  power factor compensation  nonsinusoidal circuits  geometric algebra  evolutionary algorithms  electric power contracts  electric energy costs  cost minimization  evolutionary computation  bioinspired algorithms  congestion management  lowvoltage networks  multiobjective particle swarm optimization  affinity propagation clustering  optimal congestion threshold  optimization  magnetic field mitigation  overhead  underground  passive shielding  active shielding  MV/LV substation  n/a
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This book presents an interesting sample of the latest advances in optimization techniques applied to electrical power engineering. It covers a variety of topics from various fields, ranging from classical optimization such as Linear and Nonlinear Programming and Integer and MixedInteger Programming to the most modern methods based on bioinspired metaheuristics. The featured papers invite readers to delve further into emerging optimization techniques and their real application to case studies such as conventional and renewable energy generation, distributed generation, transport and distribution of electrical energy, electrical machines and power electronics, network optimization, intelligent systems, advances in electric mobility, etc.
Cable joint  internal defect  thermal probability density  power system optimization  optimal power flow  developed grew wolf optimizer  energy internet  prosumer  energy management  consensus  demand response  dayahead load forecasting  modular predictor  feature selection  microphasor measurement unit  mutual information theory  stochastic state estimation  twopoint estimation method  JAYA algorithm  multipopulation method (MP)  chaos optimization algorithm (COA)  economic load dispatch problem (ELD)  optimization methods  constrained parameter estimation  extended Kalman filter  power systems  C&I particle swarm optimization  ringdown detection  optimal reactive power dispatch  loss minimization  voltage deviation  hybrid method  tabu search  particle swarm optimization  artificial lighting  simulation  calibration  radiance  GenOpt  street light points  DC optimal power flow  power transfer distribution factors  generalized generation distribution factors  unit commitment  adaptive consensus algorithm  distributed heatelectricity energy management  eight searching subregions  islanded microgrid  dragonfly algorithm  metaheuristic  optimal power flow  particle swarm optimization  CCHP system  energy storage  offdesign performance  dynamic solving framework  battery energy storage system  micro grid  MILP  PCS efficiency  piecewise linear techniques  renewable energy sources  optimal operation  UC  demand bidding  demand response  genetic algorithm  load curtailment  optimization  hybrid renewable energy system  pumpedhydro energy storage  offgrid  optimization  HOMER software  rural electrification  subSaharan Africa  Cameroon  building energy management system  HVAC system  energy storage system  energy flow model  dependability  sustainability  data center  power architectures  optimization  AC/DC hybrid active distribution  hierarchical scheduling  multistakeholders  discrete wind driven optimization  multiobjective optimization  optimal power flow  metaheuristic  wind energy  photovoltaic  smart grid  transformerfault diagnosis  principal component analysis  particle swarm optimization  support vector machine  wind power  integration assessment  interactive load  considerable decomposition  controllable response  SOCP relaxations  optimal power flow  current margins  affine arithmetic  interval variables  optimizingscenarios method  power flow  wind power  active distribution system  virtual power plant  stochastic optimization  decentralized and collaborative optimization  genetic algorithm  multiobjective particle swarm optimization algorithm  artificial bee colony  IEEE Std. 802000  Schwarz’s equation  fuzzy algorithm  radial basis function  neural network  ETAP  distributed generations (DGs)  distribution network reconfiguration  runnerroot algorithm (RRA)  interturn shortedcircuit fault (ISCF)  strong track filter (STF)  linear discriminant analysis (LDA)  switched reluctance machine (SRM)  charging/discharging  electric vehicle  energy management  genetic algorithm  intelligent scatter search  electric vehicles  heterogeneous networks  demand uncertainty  power optimization  Stackelberg game  power system unit commitment  hybrid membrane computing  crossentropy  the genetic algorithm based P system  the biomimetic membrane computing  transient stability  twostage feature selection  particle encoding method  fitness function  power factor compensation  nonsinusoidal circuits  geometric algebra  evolutionary algorithms  electric power contracts  electric energy costs  cost minimization  evolutionary computation  bioinspired algorithms  congestion management  lowvoltage networks  multiobjective particle swarm optimization  affinity propagation clustering  optimal congestion threshold  optimization  magnetic field mitigation  overhead  underground  passive shielding  active shielding  MV/LV substation  n/a
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The editors of this Special Issue titled “Intelligent Control in Energy Systems” have attempted to create a book containing original technical articles addressing various elements of intelligent control in energy systems. In response to our call for papers, we received 60 submissions. Of those submissions, 27 were published and 33 were rejected. In this book, we offer the 27 accepted technical articles as well as one editorial. Authors from 15 countries (China, Netherlands, Spain, Tunisia, United Sates of America, Korea, Brazil, Egypt, Denmark, Indonesia, Oman, Canada, Algeria, Mexico, and the Czech Republic) elaborate on several aspects of intelligent control in energy systems. The book covers a broad range of topics including fuzzy PID in automotive fuel cell and MPPT tracking, neural networks for fuel cell control and dynamic optimization of energy management, adaptive control on power systems, hierarchical Petri Nets in microgrid management, model predictive control for electric vehicle battery and frequency regulation in HVAC systems, deep learning for power consumption forecasting, decision trees for wind systems, risk analysis for demand side management, finite state automata for HVAC control, robust ?synthesis for microgrids, and neurofuzzy systems in energy storage.
lithiumion battery pack  soft internal short circuit  modelbased fault detection  battery safety  internal short circuit resistance  load frequency control  model uncertainty  ?synthesis  differential evolution  decision tree  preventive control  Fault Ride Through Capability  doublyfed induction generator  ancillary service  frequency regulation  demand response  commercial/residential buildings  HVAC systems  model predictive control  rulebased control  position control  static friction  exhaust gas recirculation (EGR) valve system  automotive application  hybrid electric vehicle  compound structured permanentmagnet motor  energy management strategy  instantaneous optimization minimum power loss  back propagation (BP) neural network  power transformer winding  vibration characteristics  multiphysical field analysis  shortcircuit experiment  windingfault characteristics  occupancy model  occupancybased control  model predictive control  energy efficiency  building climate control  solar monitoring system  photovoltaic array  energy management  demand side management  operation limit violations  probabilistic power flow  network sensitivity  neural networks  railway  highspeed railway  neutral section  medium voltage  thyristor  AC static switch  adaptive backstepping  nonlinear power systems  sliding mode control  error compensation  ?class function  energy internet  multienergy complementary  integrated energy systems  distribution network planning  electric power consumption  multistep forecasting  long short term memory  convolutional neural network  system identification  parameter estimation  system modelling  model reduction  polynomial expansion  orthogonal least square  industrial process  electric vehicle  battery packs  active balance  model predictive control  hierarchical Petri nets  urban microgrids  phaseload balancing  fuzzy logic controller  MPPT: maximum power point tracking  photovoltaic system  stepup boost converter  proton exchange membrane fuel cell  four phases interleaved boost converter  neural network controller  ACDC converters  bridgeless SEPIC PFC converter  repetitive controller  current distortion  current controller design  stochastic power system operating point drift  wind integrated power system  power oscillations  adaptive damping control  continuous voltage control  multiplepoint control  interaction minimization  pilot point  adjacent areas  ANFIS  artificial neural network  fuzzy  small scale compressed air energy storage (SSCAES)  voltage controlling  electric meter  error estimation  line loss  RLS  double forgetting factors  hybrid power plant  control architecture  coordination of reserves  frequency support  frequency control dead band  fast frequency response  frequency containment reserve  line switching  voltage violations  threestage  fractional order fuzzy PID controller  neural network algorithm  PEM fuel cell  MPPT operation  sensitivity analysis  intelligent control  artificial intelligence  energy management system  smart microgrid  energy systems  intelligent buildings  forecasting  multiagent control  optimization
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Power electronics technology is still an emerging technology, and it has found its way into many applications, from renewable energy generation (i.e., wind power and solar power) to electrical vehicles (EVs), biomedical devices, and small appliances, such as laptop chargers. In the near future, electrical energy will be provided and handled by power electronics and consumed through power electronics; this not only will intensify the role of power electronics technology in power conversion processes, but also implies that power systems are undergoing a paradigm shift, from centralized distribution to distributed generation. Today, more than 1000 GW of renewable energy generation sources (photovoltaic (PV) and wind) have been installed, all of which are handled by power electronics technology. The main aim of this book is to highlight and address recent breakthroughs in the range of emerging applications in power electronics and in harmonic and electromagnetic interference (EMI) issues at device and system levels as discussed in ?robust and reliable power electronics technologies, including fault prognosis and diagnosis technique stability of gridconnected converters and ?smart control of power electronics in devices, microgrids, and at system levels.
energy storage  lithiumion battery  battery management system BMS  battery modeling  state of charge SoC  gridconnected inverter  power electronics  multiobjective optimization  switching frequency  total demand distortion  switching losses  EMI filter  power converter  power density  optimal design  electrical drives  axial flux machines  magnetic equivalent circuit  torque ripple  back EMF  permanentmagnet machines  fivephase permanent magnet synchronous machine  fiveleg voltage source inverter  multiphase space vector modulation  sliding mode control  extended Kalman filter  voltage source inverters (VSI)  voltage control  current control  digital control  predictive controllers  advanced controllers  stability  response time  lithiumion batteries  electric vehicles  battery management system  electric power  dynamic PV model  gridconnected VSI  HFlink MPPT converter  nanocrystalline core  SiC PV Supply  DC–DC converters  multilevel control  renewable energy resources control  electrical engineering communications  microgrid control  distributed control  power system operation and control  variable speed pumped storage system  droop control  vector control  phasor model technique  nine switch converter  synchronous generator  digital signal controller  static compensator, distribution generation  hybrid converter  multilevel converter (MLC)  series active filter  power factor correction (PFC)  fieldprogrammable gate array  particle swarm optimization  selective harmonic elimination method  voltage source converter  plugin hybrid electric vehicles  power management system  renewable energy sources  fuzzy  smart microgrid  fivephase machine  faulttolerant control  induction motor  one phase open circuit fault (1Ph)  adjacent twophase open circuit fault (A2Ph)  voltperhertz control (scalar control)  currentfed inverter  LCLS topology  semiactive bridge  soft switching  voltage boost  wireless power transfer  DC–DC conversion  zerovoltage switching (ZVS)  transient control  DC–DC conversion  bidirectional converter  power factor correction  line frequency instability  one cycle control  nonlinear phenomena  bifurcation  boost converter  converter  ice melting  modular multilevel converter (MMC)  optimization design  transmission line  static var generator (SVG)  hardwareintheloop  floatingpoint  fixedpoint  realtime emulation  field programmable gate array  slim DClink drive  VPI active damping control  total harmonic distortion  cogging torque  realtime simulation  power converters  nonlinear control  embedded systems  high level programing  SHIL  DHIL  4T analog MOS control  high frequency switching power supply  water purification  modulation index  electromagnetic interference  chaotic PWM  DCDC buck converter  CMOS chaotic circuit  triangular ramp generator  spreadspectrum technique  system in package  electric vehicle  wireless power transfer  inductive coupling  coupling factor  phaseshift control  seriesseries compensation  PSpice  fixedfrequency double integral slidingmode (FFDISM)  classD amplifier  Qfactor  GaN cascode  direct torque control (DTC)  composite active vectors modulation (CVM)  permanent magnet synchronous motor (PMSM)  effect factors  double layer capacitor (DLC) models  energy storage modelling  simulation models  current control loops  dual threephase (DTP) permanent magnet synchronous motors (PMSMs)  space vector pulse width modulation (SVPWM)  vector control  voltage source inverter  active rectifiers  singleswitch  analog phase control  digital phase control  wireless power transfer  threelevel boost converter (TLBC)  DClink cascade Hbridge (DCLCHB) inverter  conducting angle determination (CAD) techniques  total harmonic distortion (THD)  threephase bridgeless rectifier  fault diagnosis  fault tolerant control  hardware in loop  compensation topology  electromagnetic field (EMF)  electromagnetic field interference (EMI)  misalignment  resonator structure  wireless power transfer (WPT)  WPT standards  EMI filter  electromagnetic compatibility  AC–DC power converters  electromagnetic interference filter  matrix converters  current source  power density  battery energy storage systems  battery chargers  active receivers  frequency locking  reference phase calibration  synchronization  wireless power transfer  lithiumion batteries  SOC estimator  parameter identification  particle swarm optimization  improved extended Kalman filter  battery management system  PMSG  DClink voltage control  variable control gain  disturbance observer  lithiumion power battery pack  composite equalizer  active equalization  passive equalization  control strategy and algorithm  n/a  commonmode inductor  highfrequency modeling  electromagnetic interference  filter  fault diagnosis  condition monitoring  induction machines  support vector machines  expert systems  neural networks  DCAC power converters  frequencydomain analysis  impedancebased model  Nyquist stability analysis  small signal stability analysis  harmonic linearization  line start  permanent magnet  synchronous motor  efficiency motor  rotor design  harmonics  hybrid power filter  active power filter  power quality  total harmonic distortion  equivalent inductance  leakage inductance  switching frequency modelling  induction motor  current switching ripple  multilevel inverter  cascaded topology  voltage doubling  switched capacitor  nearest level modulation (NLM)  total harmonic distortion (THD)  deadtime compensation  power converters  harmonics  n/a
Choose an application
Power electronics technology is still an emerging technology, and it has found its way into many applications, from renewable energy generation (i.e., wind power and solar power) to electrical vehicles (EVs), biomedical devices, and small appliances, such as laptop chargers. In the near future, electrical energy will be provided and handled by power electronics and consumed through power electronics; this not only will intensify the role of power electronics technology in power conversion processes, but also implies that power systems are undergoing a paradigm shift, from centralized distribution to distributed generation. Today, more than 1000 GW of renewable energy generation sources (photovoltaic (PV) and wind) have been installed, all of which are handled by power electronics technology. The main aim of this book is to highlight and address recent breakthroughs in the range of emerging applications in power electronics and in harmonic and electromagnetic interference (EMI) issues at device and system levels as discussed in ?robust and reliable power electronics technologies, including fault prognosis and diagnosis technique stability of gridconnected converters and ?smart control of power electronics in devices, microgrids, and at system levels.
energy storage  lithiumion battery  battery management system BMS  battery modeling  state of charge SoC  gridconnected inverter  power electronics  multiobjective optimization  switching frequency  total demand distortion  switching losses  EMI filter  power converter  power density  optimal design  electrical drives  axial flux machines  magnetic equivalent circuit  torque ripple  back EMF  permanentmagnet machines  fivephase permanent magnet synchronous machine  fiveleg voltage source inverter  multiphase space vector modulation  sliding mode control  extended Kalman filter  voltage source inverters (VSI)  voltage control  current control  digital control  predictive controllers  advanced controllers  stability  response time  lithiumion batteries  electric vehicles  battery management system  electric power  dynamic PV model  gridconnected VSI  HFlink MPPT converter  nanocrystalline core  SiC PV Supply  DC–DC converters  multilevel control  renewable energy resources control  electrical engineering communications  microgrid control  distributed control  power system operation and control  variable speed pumped storage system  droop control  vector control  phasor model technique  nine switch converter  synchronous generator  digital signal controller  static compensator, distribution generation  hybrid converter  multilevel converter (MLC)  series active filter  power factor correction (PFC)  fieldprogrammable gate array  particle swarm optimization  selective harmonic elimination method  voltage source converter  plugin hybrid electric vehicles  power management system  renewable energy sources  fuzzy  smart microgrid  fivephase machine  faulttolerant control  induction motor  one phase open circuit fault (1Ph)  adjacent twophase open circuit fault (A2Ph)  voltperhertz control (scalar control)  currentfed inverter  LCLS topology  semiactive bridge  soft switching  voltage boost  wireless power transfer  DC–DC conversion  zerovoltage switching (ZVS)  transient control  DC–DC conversion  bidirectional converter  power factor correction  line frequency instability  one cycle control  nonlinear phenomena  bifurcation  boost converter  converter  ice melting  modular multilevel converter (MMC)  optimization design  transmission line  static var generator (SVG)  hardwareintheloop  floatingpoint  fixedpoint  realtime emulation  field programmable gate array  slim DClink drive  VPI active damping control  total harmonic distortion  cogging torque  realtime simulation  power converters  nonlinear control  embedded systems  high level programing  SHIL  DHIL  4T analog MOS control  high frequency switching power supply  water purification  modulation index  electromagnetic interference  chaotic PWM  DCDC buck converter  CMOS chaotic circuit  triangular ramp generator  spreadspectrum technique  system in package  electric vehicle  wireless power transfer  inductive coupling  coupling factor  phaseshift control  seriesseries compensation  PSpice  fixedfrequency double integral slidingmode (FFDISM)  classD amplifier  Qfactor  GaN cascode  direct torque control (DTC)  composite active vectors modulation (CVM)  permanent magnet synchronous motor (PMSM)  effect factors  double layer capacitor (DLC) models  energy storage modelling  simulation models  current control loops  dual threephase (DTP) permanent magnet synchronous motors (PMSMs)  space vector pulse width modulation (SVPWM)  vector control  voltage source inverter  active rectifiers  singleswitch  analog phase control  digital phase control  wireless power transfer  threelevel boost converter (TLBC)  DClink cascade Hbridge (DCLCHB) inverter  conducting angle determination (CAD) techniques  total harmonic distortion (THD)  threephase bridgeless rectifier  fault diagnosis  fault tolerant control  hardware in loop  compensation topology  electromagnetic field (EMF)  electromagnetic field interference (EMI)  misalignment  resonator structure  wireless power transfer (WPT)  WPT standards  EMI filter  electromagnetic compatibility  AC–DC power converters  electromagnetic interference filter  matrix converters  current source  power density  battery energy storage systems  battery chargers  active receivers  frequency locking  reference phase calibration  synchronization  wireless power transfer  lithiumion batteries  SOC estimator  parameter identification  particle swarm optimization  improved extended Kalman filter  battery management system  PMSG  DClink voltage control  variable control gain  disturbance observer  lithiumion power battery pack  composite equalizer  active equalization  passive equalization  control strategy and algorithm  n/a  commonmode inductor  highfrequency modeling  electromagnetic interference  filter  fault diagnosis  condition monitoring  induction machines  support vector machines  expert systems  neural networks  DCAC power converters  frequencydomain analysis  impedancebased model  Nyquist stability analysis  small signal stability analysis  harmonic linearization  line start  permanent magnet  synchronous motor  efficiency motor  rotor design  harmonics  hybrid power filter  active power filter  power quality  total harmonic distortion  equivalent inductance  leakage inductance  switching frequency modelling  induction motor  current switching ripple  multilevel inverter  cascaded topology  voltage doubling  switched capacitor  nearest level modulation (NLM)  total harmonic distortion (THD)  deadtime compensation  power converters  harmonics  n/a
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