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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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This Special Issue addresses the general problem of a proper match between the demands of energy users and the units for energy conversion and storage, by means of proper design and operation of the overall energy system configuration. The focus is either on systems including single plants or groups of plants, connected or not to one or more energy distribution networks. In both cases, the optimum design and operation involve decisions about thermodynamic processes, about the type, number, design parameters of components/plants, and storage capacities, and about mutual interconnections and the interconnections with the distribution grids. The problem is absolutely general, encompassing design and operation of energy systems for single houses, groups of houses, industries, industrial districts, municipal areas, regions and countries. The presented papers show that similar approaches can be used in different applications, although a general standard has not been achieved yet.
advanced exergybased analysis  superstructurebased  superstructurefree  mathematical programming  flowsheet synthesis  multiobjective optimization  thermal power plants  gas supply chain  optimization  distributed energy  liquefied natural gas (LNG)  compressed natural gas (CNG)  smallscale compressedair energy storage (SSCAES)  energy storage  exergy analysis  optimization  Real Coded Genetic Algorithm (RCGA)  Violation ConstraintHandling (VCH)  oil palm  palm oil mills  palm oil residues  valueadded products  supply chains optimization  spatial analysis  technoeconomic analysis  wave energy  battery storage  price estimation  hourly distribution  electricity production  electricity demand  synthesis/design optimization  cycle configuration  absorption technology  absorption refrigerator  district energy system  optimization  renewable energy systems  combined heat and power  operating cost  uncertainty  reliability  sustainability  IEEERTS  uncertainties  MONA  energy storage  thermoelectric  supercritical CO2  solar energy  thermal energy storage  mixed integer linear programming  rollinghorizon  combined heat and power  optimization  energy systems  integrated ship energy systems  synthesis  design and operation optimization  intertemporal optimization  dynamic optimization  smart energy systems  MixedInteger NonLinear/Linear Programming (MINLP/MILP)  dynamic modelling  design and operation optimization  fleet of energy conversion and storage units  smart power systems  multienergy systems  optimization of energy systems design and operation
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Buildings are one of the main causes of the emission of greenhouse gases in the world. Europe alone is responsible for more than 30% of emissions, or about 900 million tons of CO2 per year. Heating and air conditioning are the main cause of greenhouse gas emissions in buildings. Most buildings currently in use were built with poor energy efficiency criteria or, depending on the country and the date of construction, none at all. Therefore, regardless of whether construction regulations are becoming stricter, the real challenge nowadays is the energy rehabilitation of existing buildings. It is currently a priority to reduce (or, ideally, eliminate) the waste of energy in buildings and, at the same time, supply the necessary energy through renewable sources. The first can be achieved by improving the architectural design, construction methods, and materials used, as well as the efficiency of the facilities and systems; the second can be achieved through the integration of renewable energy (wind, solar, geothermal, etc.) in buildings. In any case, regardless of whether the energy used is renewable or not, the efficiency must always be taken into account. The most profitable and clean energy is that which is not consumed.
greenhouse  floor envelope design  ground heat transfer  thermal insulation  energy modeling  life cycle cost analysis  nearly zero energy building  artificial neural network  performance parameter design  energy saving ratio  dynamic simulation  urban modelling  cosimulation  simulation engines  building stock energy demand  building  energy  heat load  sensitivity  glazing  surface cooling  threephase unbalance minimization  model predictive control  home energy management system  perturbation and observation  adjustable step size  low power loss  maximum power point tracking  HVAC demand  prediction  energy efficiency  residential buildings  Ipomoea batatas  lightweight expanded clay aggregate (LECA), thermal performance  extensive green roof  subtropical climate  artificial neural network  big data  energyperformance gap  building energy prediction  building user activity  singleperson household  Korean household energy consumption  analytical hierarchy process  energy efficiency promotion  influencing factors  residential buildings  policy design  building energy  passive architecture  test method  energy performance standard  zero energy building  technology package  renovation  energy renovation  demolition  new construction  energy use  energy performance  life cycle cost  optimization  OPERAMILP  multifamily buildings  Arab region  building sector  energy efficiency  energy productivity  GCC  Maghreb  Mashreq  space heating  domestic hot water (DHW)  air, ground and water source heat pump (ASHP, GSHP and WSHP)  coefficient of performance (COP)  seasonal performance factor (SPF)  energy pile  energy tunnel  Level(s)  green building rating systems  Building Research Establishment Assessment Method (BREEAM)  Deutsche Gesellschaft für Nachhaltiges Bauen (DGNB)  Haute Qualité Environnementale (HQE)  Leadership in Energy &  Environmental Design (LEED)  energy efficiency  subtropical climate building  MinimumEnergy Building (MEB)  building refurbishment  building rehabilitation  building renovation  envelope airtightness  envelope thermography  envelope transmittance
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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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