Optimization Methods Applied to Power Systems: Volume 1

• Главный автор: Montoya, Francisco G. (auth)
• Другие авторы: Baños Navarro, Raúl (auth)
• Формат: Электронный ресурс Глава книги
• Язык: английский
• Опубликовано: MDPI - Multidisciplinary Digital Publishing Institute 2019
• Предметы: History of engineering & technology; n/a; Stackelberg game; MILP; optimal congestion threshold; magnetic field mitigation; simulation; multi-objective particle swarm optimization; virtual power plant; internal defect; day-ahead load forecasting; neural network; modular predictor; multi-objective particle swarm optimization algorithm; stochastic optimization; dragonfly algorithm; unit commitment; metaheuristic; multi-population method (MP); optimization; tabu search; considerable decomposition; loss minimization; active distribution system; islanded microgrid; dynamic solving framework; feature selection; electric energy costs; power factor compensation; dependability; interactive load; overhead; energy internet; evolutionary computation; wind power; developed grew wolf optimizer; underground; ETAP; fuzzy algorithm; electric vehicles; Schwarz's equation; evolutionary algorithms; electric power contracts; congestion management; optimizing-scenarios method; building energy management system; particle encoding method; ringdown detection; HOMER software; DC optimal power flow; prosumer; constrained parameter estimation; distributed generations (DGs); strong track filter (STF); transient stability; calibration; cost minimization; radiance; decentralized and collaborative optimization; hybrid renewable energy system; renewable energy sources; rural electrification; distribution network reconfiguration; interval variables; optimization methods; particle swarm optimization; hierarchical scheduling; micro grid; AC/DC hybrid active distribution; consensus; artificial bee colony; CCHP system; data center; support vector machine; affinity propagation clustering; extended Kalman filter; affine arithmetic; linear discriminant analysis (LDA); current margins; heterogeneous networks; Cameroon; hybrid method; distributed heat-electricity energy management; discrete wind driven optimization; fitness function; cross-entropy; GenOpt; wind energy; demand uncertainty; UC; off-design performance; genetic algorithm; energy storage; the biomimetic membrane computing; power system optimization; electric vehicle; power architectures; economic load dispatch problem (ELD); runner-root algorithm (RRA); Cable joint; battery energy storage system; load curtailment; integration assessment; power system unit commitment; artificial lighting; power flow; hybrid membrane computing; two-point estimation method; low-voltage networks; demand bidding; non-sinusoidal circuits; energy flow model; power transfer distribution factors; sustainability; HVAC system; voltage deviation; street light points; radial basis function; energy storage system; charging/discharging; power systems; intelligent scatter search; MV/LV substation; optimal power flow; stochastic state estimation; eight searching sub-regions; chaos optimization algorithm (COA); mutual information theory; inter-turn shorted-circuit fault (ISCF); C&I particle swarm optimization; multiobjective optimization; passive shielding; sub-Saharan Africa; micro-phasor measurement unit; geometric algebra; bio-inspired algorithms; adaptive consensus algorithm; energy management; PCS efficiency; multi-stakeholders; generalized generation distribution factors; the genetic algorithm based P system; JAYA algorithm; thermal probability density; power optimization; pumped-hydro energy storage; smart grid; two-stage feature selection; piecewise linear techniques; photovoltaic; SOCP relaxations; switched reluctance machine (SRM); optimal reactive power dispatch; optimal operation; controllable response; off-grid; active shielding; transformer-fault diagnosis; IEEE Std. 80-2000; principal component analysis; demand response
• Online-ссылка: DOAB: download the publication; DOAB: description of the publication

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 Programmin...