Search results:
Found 4
Listing 1  4 of 4 
Sort by

Choose an application
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
Choose an application
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
Choose an application
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
Choose an application
This book is a collection of scientific papers concerning multilevel inverters examined from different points of view. Many applications are considered, such as renewable energy interface, power conditioning systems, electric drives, and chargers for electric vehicles. Different topologies have been examined in both new configurations and wellestablished structures, introducing novel and particular modulation strategies, and examining the effect of modulation techniques on voltage and current harmonics and the total harmonic distortion.
DC–DC conversion  interleaved buck  parasitic switching states  threelevel converter  simplified PWM strategy  redundant switching combination  voltage balance control  modular multilevel converter  IGBT shortcircuit  fault detection  fault location  Differential Comparison LowVoltage Detection Method (DCLVDM)  Continuous Wavelet Transform  digital controller  digital signal processors (DSP)  modular multilevel converters (MMC)  multiterminal DC network (MTDC)  MMCMTDC  hybrid modulated model predictive control  optimal output voltage level  multipoint DC control  neutralpointclamped (NPC) inverter  dclink capacitor voltage balance  offset voltage injection  harmonic component  modular multilevel converters  capacitor voltage balancing  sorting networks  fieldprogrammable gate array  lowharmonic DC icemelting device  transmission line  voltage fluctuation  harmonic  dynamic reactive  substation’s voltage stability  alternating current (AC) motor drive  current estimation  current reconstruction method  current unmeasurable areas  total harmonic distortion (THD)  single shunt resistor  space vector pulse width modulation (SVPWM)  shift method  minimum voltage injection (MVI) method  threelevel neutral point clamped inverter (NPCI)  threelevel boost  automatic current balance  threeloop  voltage imbalance  DClink voltage balancing  fieldoriented control  fieldprogrammable gate array  multilevel activeclamped converter  motor drive  buckchopper  PVsimulator  Ttype converter  real time simulator  threelevel boost DCDC converter  small signal modeling  voltage balance control  multilevel converter  selected harmonic elimination  genetic algorithm  imperialist competitive algorithm  voltage ripple  voltage source inverter  threephase inverter  DClink capacitor design  Cascaded Hbridge multilevel inverter (CHBMI)  fieldprogrammable gate array  total harmonic distortion (THD)  modulation techniques  multilevel converter  electric vehicle  onboard battery charger  power factor correction  power quality  smart grid  model predictive control  singlephase threelevel NPC converter  commutation  modular multilevel converter (MMC)  Submodule (SM) fault  faulttolerant control  Phase Disposition PWM  finite control set model predictive control  Ttype inverter  computational cost  LC filter  DClink capacitor voltage balancing  multilevel converter  DC side fault blocking  predictive control  battery energy storage system (BESS)  modular multilevel converter (MMC)  stateofcharge (SOC) balancing control  tolerance for battery power unbalance  model predictive control (MPC)  computational burden  reverse prediction  modular multilevel converter (MMC)  multilevel inverters  total harmonic distortion  levelshifted PWM  phaseshifted PWM  electrical drives  energy saving  multilevel power converters  permanent magnet synchronous generator  openend winding configuration  voltage balancing  power factor  improved PQ algorithm  power flow analysis  threephase to singlephase cascaded converter  ACTPSS  NPC/H Bridge  fivelevel  Balance of capacitor voltage  Suppression of CMV  SVPWM  multilevel converter  multimotor drive  harmonic mitigation  active filter  open end winding motor  high efficiency drive  high reliability applications
Listing 1  4 of 4 
Sort by

2019 (4)