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In the face of climate change and resource scarcity, energy supply systems are on the verge of a major transformation, which mainly includes the introduction of new components and their integration into the existing infrastructures, new network configurations and reliable topologies, optimal design and novel operation schemes, and new incentives and business models. This revolution is affecting the current paradigm and demanding that energy systems be integrated into multicarrier energy hubs. It is highly increasing the interactions between today’s energy systems at various scales and future intelligent energy systems, which are able to incorporate an increasing amount renewable energy sources. This transformation is also accommodating active participation of endusers as responsive prosumers at different scales which in turn helps to reduce energy costs and to mitigate carbon footprints.This book covers the mentioned promising and dynamic areas of research and development, and reports on contributions in design, control and optimization of integrated energy systems. The contents of the book which are gathered based on the accepted articles in the special issue on Advances in Integrated Energy systems Design, Control and Optimization also covers a variety of topics, ranging from operation and control of smallscale electrical networks to the complex energy systems design and planning.
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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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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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