Optimization Methods Applied to Power Systems

Volume 1

Edited by
July 2019
382 pages
  • ISBN978-3-03921-130-2 (Paperback)
  • ISBN978-3-03921-131-9 (PDF)

This book is a reprint of the Special Issue Optimization Methods Applied to Power Systems that was published in

This book is part of the book set Optimization Methods Applied to Power Systems

Chemistry & Materials Science
Environmental & Earth Sciences
Physical Sciences

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 Mixed-Integer Programming to the most modern methods based on bio-inspired 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.

  • Paperback
License and Copyright
© 2019 by the authors; CC BY-NC-ND license
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; day-ahead load forecasting; modular predictor; feature selection; micro-phasor measurement unit; mutual information theory; stochastic state estimation; two-point estimation method; JAYA algorithm; multi-population 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 heat-electricity energy management; eight searching sub-regions; islanded microgrid; dragonfly algorithm; metaheuristic; optimal power flow; particle swarm optimization; CCHP system; energy storage; off-design 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; pumped-hydro energy storage; off-grid; optimization; HOMER software; rural electrification; sub-Saharan 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; multi-stakeholders; discrete wind driven optimization; multiobjective optimization; optimal power flow; metaheuristic; wind energy; photovoltaic; smart grid; transformer-fault 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; optimizing-scenarios method; power flow; wind power; active distribution system; virtual power plant; stochastic optimization; decentralized and collaborative optimization; genetic algorithm; multi-objective particle swarm optimization algorithm; artificial bee colony; IEEE Std. 80-2000; Schwarz’s equation; fuzzy algorithm; radial basis function; neural network; ETAP; distributed generations (DGs); distribution network reconfiguration; runner-root algorithm (RRA); inter-turn shorted-circuit 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; cross-entropy; the genetic algorithm based P system; the biomimetic membrane computing; transient stability; two-stage feature selection; particle encoding method; fitness function; power factor compensation; non-sinusoidal circuits; geometric algebra; evolutionary algorithms; electric power contracts; electric energy costs; cost minimization; evolutionary computation; bio-inspired algorithms; congestion management; low-voltage networks; multi-objective particle swarm optimization; affinity propagation clustering; optimal congestion threshold; optimization; magnetic field mitigation; overhead; underground; passive shielding; active shielding; MV/LV substation; n/a