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A thorough and exhaustive presentation of theoretical analysis and practical techniques for the smallsignal analysis and control of large modern electric power systems as well as an assessment of their stability and damping performance. Such systems may contain many hundreds of synchronous generators and high voltage power electronics equipment known as FACTS Devices.The book describes new techniques not only for the tuning and analysis of stabilizers for systems with many generators and FACTS Devices but also for their coordination.Of practical interest, these techniques are illustrated with relevant examples based on a multimachine power system containing FACTS Devices for operating conditions ranging from light to peak load.By introducing new analytical concepts, using examples, and by employing productiongrade software, practical insights are provided into the significance and application of various analytical techniques.
facts devices  performance of power systems  automatic voltage regulators  pouyan pourbeik  david vowles  smallsignal stability  michael gibbard  multimachine power system  control and dynamic  electric power systems  smallsignal modelling of generators
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Challenging problems arise in all segments of energy industries—generation, transmission, distribution and consumption. Optimization models and methods play a key role in offering decision/policy makers better information to assist them in making sounder decisions at different levels, ranging from operational to strategic planning.
multiobjective optimization  nondominated sorting genetic algorithm (NSGA)  multicriteria decision making (MCDM)  technique for the order of preference by similarity to the ideal solution (TOPSIS)  life cycle cost  scenariobased multistage stochastic programming  energy system management model  stochastic robust optimization  electricpower structure adjustment  energy conservation and emissions reduction  building microgrid  component outage  energy network  islanded microgrids  microgrid operation  reoptimization and rescheduling  portfolio analysis  semimeanabsolute deviation model  fuzzy set theory  optimal power generation mix  oil storage plants  domino effect  firefighting  optimization  graph theory  influence diagram  heating ventilation and airconditioning (HVAC)  demand side management  occupancybased control  predicted mean vote (PMV)  optimization  electrical distribution systems  meshed topology  mixed integer linear programing  stochastic programming  variable renewable power  flexibility option  integrated energy system  generation expansion planning  combined heat and power  feasible operation region  generation efficiency  mixed integer linear programming  net demand  wind power forecasting  longterm forecasting  intermittent sources  Markov chain Monte Carlo
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Carbon emissions reached an alltime high in 2018, when global carbon dioxide emissions from burning fossil fuels increased by about 2.7%, after a 1.6% increase in 2017. Thus, we need to pay special attention to carbon emissions and work out possible solutions if we still want to meet the targets of the Paris climate agreement. This Special Issue collects 16 carbon emissionsrelated papers (including 5 that are carbon taxrelated) and 4 energyrelated papers using various methods or models, such as the input–output model, decoupling analysis, life cycle impact analysis (LCIA), relational analysis model, generalized Divisia index model (GDIM), forecasting model, threeindicator allocation model, mathematical programming, real options model, multiple linear regression, etc. The research studies come from China, Taiwan, Brazil, Thailand, and United States. These researches involved various industries such as agricultural industry, transportation industry, power industry, tire industry, textile industry, wave energy industry, natural gas industry, and petroleum industry. Although this Special Issue does not fully solve our concerns, it still provides abundant material for implementing energy conservation and carbon emissions reduction. However, there are still many issues regarding the problems caused by global warming that require research.
household consumption  total carbon emissions  CLA Model  influence factor  STIRPAT model  carbon emissions  influencing factors  decoupling elasticity  Generalized Divisia Index  Tapio’s model  household CO2 emissions (HCEs)  per capita household CO2 emissions (PHCEs)  input–output model  refined oil distribution  inventory routing problem  hybrid genetic algorithm  carbon emissions  carbon tax  decoupling analysis  greenhouse gas emissions  carbon footprint  lowcarbon agriculture  causal factors  CO2 emissions forecasting  VARIMAXECM model  sustainable development  economic growth  population growth  carbon price fluctuation  renewable energy  real options analysis  investment under uncertainty  carbon emissions  carbon tax  activitybased costing (ABC)  capacity expansion  green quality management  productmix decision model  mathematical programming  longterm  final energy consumption  LTARIMAXS model  sustainable development  economic growth and the environment  error correction mechanism model  activitybased costing (ABC)  mathematical programming  textile industry  green manufacturing  Industry 4.0  carbon emissions  ActivityBased Costing (ABC)  carbon emissions  tire industry  carbon trading  mathematical programming  quotas allocation  carbon emissions  electric power industry  fairness  agriculturalrelated sectors  carbon emissions  carbon tax  China  power industry  carbon emissions  Generalized Divisia Index  scenario forecast  Monte Carlo method  wave energy converter  life cycle assessment  energy intensity  carbon intensity  aircraft  taxi time  takeoff rate  pushback control  green transportation  carbon emissions  reducing carbon emissions  carbon intensity target  energy structure  gray model (GM (1, 1))  generalized regression neural network (GRNN)  Markov forecasting model  nonlinear programming  ethylene supply  shale gas  nonenergy uses of fossil fuels  socioeconomic scenarios  climate change  tea  climate change  sustainable agriculture  environmental impact  carbon footprint  CO2 emissions  HOMER software  hybrid ship power systems  Liion battery  shipping  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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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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