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This book covers the technological progress and developments of a largescale 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.
squirrel cage induction generator (SCIG)  doubly fed induction generator (DFIG)  fuzzy logic controller (FLC)  PI controller  low voltage ride through (LVRT)  power system  wind power forecasting  wavelet neural network  multiobjective artificial bee colony algorithm  prediction intervals  DFIGbased wind farm  transmission line  real fault cases  fault characteristics  distance protection  power smoothing  wind farm  wind turbine allocation  rotor inertia  power wind turbine  control wind turbine  battery energy storage system  wake effect  optimization  kinetic energy storage  wind farm  reliability of electricity supplies  fault diagnosis and isolation  multiple sensor faults  LPV observer  permanent magnet synchronous generator  largescale wind farm  automatic generation control  load frequency control  fractional order proportionalintegraldifferential controller  deloading  droop curve  hardwareintheloop  reserve power  primary frequency control  optimal control  wind forecast  fault current limiters  doublyfed induction generator  fault ridethrough  superconductor  series dynamic braking resistor  wind farm  Fault Ride Through (FRT)  DistributedFlexible AC Transmission system (DFACTS)  Distribution Static VAr Compensator(DSVC)  Distribution Static Synchronous Compensator (DSTATCOM)
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This book offers a collection of 30 scientific papers which address the problems associated with the use of power electronic converters in renewable energy sourcebased systems. Relevant problems associated with the use of power electronic converters to integrate renewable energy systems to the power grid are presented. Some of the covered topics relate to the integration of photovoltaic and wind energy generators into the rest of the system, and to the use of energy storage to mitigate power fluctuations, which are a characteristic of renewable energy systems. The book provides a good overview of the abovementioned topics.
modular multilevel converter  battery energy storage system  stateofcharge balancing  secondlife battery  multienergy complementary  microgrid  demand response  operation optimization  electricity price  peakcurrentmode control  dynamic modeling  dutyratio constraints  discontinuous conduction mode  FACTS devices  active power filter  static compensator  control strategies  gridconnected converter  SPWM  SVM  maximum power point tracking  open circuit voltage  perturb and observe  thermoelectric generator  twostage photovoltaic power  virtual synchronous generator  adaptiveMPPT (maximum power point tracking)  improvedVSG (virtual synchronous generator)  power matching  failure zone  governor  frequency regulation  inverter  voltagetype control  static frequency characteristics  gridconnected converter  adaptive resonant controller  PLL  impedance analysis  distorted grid  digital signal processor (DSP) TMS320F28335  gridconnected inverter  internal model  linear quadratic regulator  LCL filter  photovoltaic systems  multilevel power converter  soft switching  selective harmonic mitigation  phase shifted  voltage cancellation  adaptive control  sliding mode control  speed control  wind energy system  microgrid (MG)  droop control  washout filter  hardware in the loop (HIL)  active frontend converter  backtoback converter  permanent magnet synchronous generator (PMSG)  THD  type4 wind turbine  wind energy system  OpalRT Technologies®  synchronization  adaptive notch filter (ANF)  phaselocked loop (PLL)  wind power prediction  phase space reconstruction  multivariate linear regression  cloud computing  time series  multiple VSGs  oscillation mitigation  coordinated control  smallsignal and transient stability  coordination control  energy storage  grid support function  inertia  photovoltaic  virtual synchronous generator  weak grid  parallel inverters  oscillation suppression  notch filter  impedance reshaping  boost converter  peakcurrentmode control  dynamic modeling  discontinuous operation mode  doublyfed induction generator  shortcircuit fault  frequency regulation  variable power tracking control  improved additional frequency control  variable coefficient regulation  inertia and damping characteristics  generator speed control  electrical power generation  turbine and generator  gridconnected converter  organic Rankine cycle  renewable energy  multiport converter (MPC)  single ended primary inductor converter (SEPIC)  multiinput single output (MISO)  renewable power system  coupled oscillators  virtual impedance  synchronization  power converters  droop control  virtual admittance  distributed generation  energy  renewable energy  microgrids  Energy Internet  energy router  microgrid  electric vehicle  PV  batteryenergy storage  DCAC power converters  impedance emulation  stability analysis  powerhardwarein theloop  photovoltaic generators  maximum power point tracking  step size  perturbation frequency  source and load impedance  transient dynamics  stability  grid synchronization  power electronics  power grid  inverter  gridconnected  microgrid  experiment  modules  synchronverter  power ripple elimination  resonant controller  unbalanced power grid  ROCOF  PLL  error  low inertia  VSC  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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