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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 Special Issue Distributed Energy Resources Management 2018 includes 13 papers, and is a continuation of the Special Issue Distributed Energy Resources Management. The success of the previous edition shows the unquestionable relevance of distributed energy resources in the operation of power and energy systems at both the distribution level and at the wider power system level. Improving the management of distributed energy resources makes it possible to accommodate the higher penetration of intermittent distributed generation and electric vehicle charging. Demand response programs, namely the ones with a distributed nature, allow the consumers to contribute to the increased system efficiency while receiving benefits. This book addresses the management of distributed energy resources, with a focus on methods and techniques to achieve an optimized operation, in order to aggregate the resources namely in the scope of virtual power players and other types of aggregators, and to remunerate them. The integration of distributed resources in electricity markets is also addressed as an enabler for their increased and efficient use.
clustering  demand Response  distributed generation  smart grids  demandside management  multiagent system  distributed coordination  distributed energy resources  swarm intelligence  virtual power plant  distributed energy resources  multiagent technology  bidding strategy  stackelberg dynamic game  aggregator  distribution system operator  distributed energy resources  local flexibility market  flexibility service  distributed energy  comprehensive benefits  multiagent synergetic estimation  synergistic optimization strategy  control system  faulttolerant control  algorithm design and analysis  IoT (Internet of Things)  nonlinear control  optimization  DSM  microgrid  solar  wind  teachinglearning  microgrid  energy storage system  distributed generator  frequency control  active power control  autonomous control  droop control  frequency bussignaling  batteries  energy storage  microgrids  optimal scheduling  particle swarm optimization  power system management  smart grid  supply and demand  trade agreements  low voltage networks  multiperiod optimal power flow  multitemporal optimal power flow  active distribution networks  unbalanced networks  indoor environment quality  occupant comfort  building climate control  healthy building  energy efficiency  adaptability  decentralized energy management system  local energy trading  multiagent system  optimization  smart grid  demand response  distributed generation  particle swarm optimization  prosumer  n/a
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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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Electrical power systems are evolving at the generation, transmission, and distribution levels. At distribution level, small generating and storage units—the socalled distributed energy sources (DERs)—are being installed close to consumption sites. The expansion of DERs is empowering renewable energy source integration and, as a consequence, new actors are appearing in electrical systems. Among them, the prosumer is a gamechanger; the fruit of the behavior transformation of the consumer who has not only the ability to consume power but also to produce it. Microgrids can be understood as DER installations that have the capability of both gridconnected and gridisolated operation. During the last decades, there has been a significant deployment of microgrids (e.g., in countries like the United States, Switzerland, and Denmark) and a consequent increase in renewable energy generation. This is contributing to the decarbonization of electrical power systems. However, the variability and intermittency of renewable sources introduce uncertainty, which implies a more complex operation and control. Taking into account that existing and future planned microgrids are being/going to be interconnected to the current electrical network, challenges in terms of design, operation, and control at power system level need to be addressed, considering existing regulations.
demandside management  optimization  deterministic optimization  stochastic optimization  residential users  devices scheduling  renewable sources  storage systems  electric energy market  power quality  chaos synchronization detection  extension theory  direct search method (DSM)  microgrid (MG)  distributed energy resources (DERs)  distributed generation (DG)  optimal dispatch  microgrids  multiagent  coordinated control  IEC 61850 Standard  generic object oriented substation event (GOOSE) communication  power quality disturbances  Stransform  multiresolution  particle swarm optimization  decision tree  reliability evaluation  microgrid  distributed generation  battery storage  vehicletogrid  ruleless EV  regular EV  combined power generation system  microgrid  coordinative optimization of energy  predictive control  genetic algorithm  distributed generation (DG)  microgrid  microgrid stability controller (MSC)  total slidingmode control  hierarchical control scheme  maximum electrical efficiency  nonlinear programming  solid oxide fuel cell  electric vehicle (EV)  vehicletogrid (V2G)  isolated grid  load frequency control (LFC)  multivariable generalized predictive control (MGPC)  current harmonic reduction  active filter  power quality  buckboost converter  renewable energy source  optimal capacity  reliability  renewable  energy storage  genetic algorithm  DC microgrid  communication delay  droop control  load power sharing  mesh configuration  radial configuration  electric vehicle  energy management system  peakshift  peakcut  vehicle information system  photovoltaic feasibility  flexible generation  distributed energy resources  power quality  DC distribution  DC microgrid  inrush current  grounding  DC architectures  datacenter  residential power systems  telecommunication power management  smart grids  microgrid  network planning  power distribution  grid independence  distributed energy resources  microgrid  IEC 61850  plug and play  operation  smallscale standalone microgrid  HESS  ESS effective rate  coordinated control strategy  cost and life  technical and economic optimization  microgrid  flywheel energy storage (FES)  doubly fed induction machine  frequency control  smoothing wind power  distributed generation  congestion problems  mediumvoltage networks  curtailment  flexibility  microgrid test facility  distributed generation  integrated electrical and thermal grids  flexible and configurable architecture  energy efficiency  distributed optimization  optimal power flow  microgrids  embedded system  smart grid  smart inverter  distributed energy resource  power quality
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