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Optimization Methods Applied to Power Systems: Volume 1

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ISBN: 9783039211302 / 9783039211319 Year: Pages: 382 DOI: 10.3390/books978-3-03921-131-9 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-08-28 11:21:27
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Abstract

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.

Keywords

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

Optimization Methods Applied to Power Systems: Volume 2

Authors: ---
ISBN: 9783039211562 / 9783039211579 Year: Pages: 306 DOI: 10.3390/books978-3-03921-157-9 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-08-28 11:21:27
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Abstract

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.

Keywords

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

Micro/Nano Manufacturing

Authors: ---
ISBN: 9783039211692 / 9783039211708 Year: Pages: 208 DOI: 10.3390/books978-3-03921-170-8 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General)
Added to DOAB on : 2019-12-09 11:49:15
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Micro manufacturing involves dealing with the fabrication of structures in the size range of 0.1 to 1000 µm. The scope of nano manufacturing extends the size range of manufactured features to even smaller length scales—below 100 nm. A strict borderline between micro and nano manufacturing can hardly be drawn, such that both domains are treated as complementary and mutually beneficial within a closely interconnected scientific community. Both micro and nano manufacturing can be considered as important enablers for high-end products. This Special Issue of Applied Sciences is dedicated to recent advances in research and development within the field of micro and nano manufacturing. The included papers report recent findings and advances in manufacturing technologies for producing products with micro and nano scale features and structures as well as applications underpinned by the advances in these technologies.

Keywords

fluid jet polishing --- deterministic polishing --- variable pitch path --- residual error optimization --- path adaptability --- chatter identification --- three-dimensional elliptical vibration cutting --- empirical mode decomposition --- intrinsic mode function --- feature extraction --- micro-EDM molds --- micro-lens array --- contactless embossing --- friction coefficient --- micro 3D printing --- micro stereolithography --- process parameter optimization --- Taguchi’s method --- multi-objective particle swarm optimization --- flow control --- culture dish adapter --- small recess structure --- closed environment --- perfusion culture --- optical encoder --- grating --- blaze --- injection molding --- micro assembly --- active alignment --- opto-ASIC --- wafer-level optics --- antireflection nanostructure --- microlens array mold --- ultraprecision machining --- anodic aluminum oxide --- spatial uncertainty modeling --- additive manufacturing --- uncertainty quantification --- Image segmentation --- gaussian process modeling --- additive manufacturing --- selective laser melting --- surface roughness --- design of experiments --- Ti6Al4V --- SERS --- Surface-enhanced Raman scattering --- nanosphere array --- nanocone array --- hot embossing --- nanoimprinting --- plasma nitriding --- micro-nozzle --- micro-spring --- nitrogen supersaturation --- hardening --- hydrophobicity --- stiffness control --- product development --- conceptual design --- micro assembly --- data structure --- design for manufacturability --- low PC clinker --- Portland limestone ternary fiber–cement nanohybrids --- flexural strength --- TGA/dTG --- XRD --- MIP --- water impermeability tests --- micro and nano manufacturing --- micro-fluidics --- micro-optics --- micro and nano additive manufacturing --- micro-assembly --- surface engineering and interface nanotechnology --- micro factories --- micro reactors --- micro sensors --- micro actuators

Polymeric Foams

Authors: ---
ISBN: 9783039216321 / 9783039216338 Year: Pages: 322 DOI: 10.3390/books978-3-03921-633-8 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- Chemical Engineering
Added to DOAB on : 2019-12-09 11:49:16
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Advances in nanotechnology have boosted the development of more efficient materials, with emerging sectors (electronics, energy, aerospace, etc.) demanding novel materials to fulfill the complex technical requirements of their products. This is the case of polymeric foams, which may display good structural properties alongside functional characteristics through a complex composition and (micro)structure in which a gas phase is combined with rigid ones, mainly based on nanoparticles, dispersed throughout the polymer matrix. In recent years, there has been an important impulse in the development of nanocomposite foams, extending the concept of nanocomposites to the field of cellular materials. This, alongside developments in new advanced foaming technologies which have allowed the generation of foams with micro, sub-micro, and even nanocellular structures, has extended the applications of more traditional foams in terms of weight reduction, damping, and thermal and/or acoustic insulation to novel possibilities, such as electromagnetic interference (EMI) shielding. This Special Issue, which consists of a total of 22 articles, including one review article written by research groups of experts in the field, considers recent research on novel polymer-based foams in all their aspects: design, composition, processing and fabrication, microstructure, characterization and analysis, applications and service behavior, recycling and reuse, etc.

Keywords

grey relational analysis --- multi-objective particle swarm optimization --- acoustic performances --- Ethylene Propylene Diene Monomer --- polyurethane foam composites --- DOPO --- itaconic acid --- ethyl cellulose --- phenolic foams --- composites --- adjacent façade --- PUR --- energy conservation --- heat transfer --- burning characteristic --- semi-rigid polyurethane foams --- aluminum microfibers --- quasi-static compression tests --- mechanical properties --- energy absorption capability --- foams --- polyamide --- crystalline --- thermal conductivity --- mechanical property --- functional --- biomaterials --- composites --- EMI --- cellulose foam --- polypropylene --- foaming quality --- impact property --- intrinsic toughness --- flame-retardant ABS microcellular foams --- phosphorus flame retardants --- MuCell® injection-molding foaming --- graphene oxide --- rigid polyurethane foam --- thermogravimetric analysis --- activation energies --- extrusion foaming --- super critical CO2 --- lignin --- sound absorption coefficient --- mechanical property --- Pluronic --- surfactants --- foams --- SANS --- multilayers --- epoxy composite foam adhesive --- core–shell rubber --- impact wedge–peel test --- automobile structural adhesives --- flame retardancy --- foams --- phosphorus --- ternary synergistic effect --- polypropylene --- fluoelastomer --- scCO2 foaming --- heterogeneous nucleation --- polypropylene --- cellulose nanofiber --- foam injection molding --- mechanical properties --- polystyrene foams --- 1,3,5-benzene-trisamides --- cell nucleation --- foam extrusion --- foam morphology --- supramolecular additives --- thermal insulation --- compression properties --- piezoelectric --- functional foam --- piezocomposite --- PZT --- expandable microspheres --- permittivity --- polyetherimide foams --- graphene --- multifunctional foams --- ultrasonication --- scCO2 --- electrical conductivity --- polymer waste --- polyurethane foam --- leaching test --- microstructure --- absorbent PMI foam --- metallic tube --- electromagnetic wave absorption --- mechanical properties --- failure mechanism --- polymers --- foams --- shock compression --- equation of state --- epoxy --- foams --- expandable microspheres --- graphene --- nanotubes --- conductivity --- syntactic foams --- n/a

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