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Optimization Methods Applied to Power Systems: Volume 1



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Autore: Montoya Francisco G Visualizza persona
Titolo: Optimization Methods Applied to Power Systems: Volume 1 Visualizza cluster
Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica: 1 electronic resource (382 p.)
Soggetto non controllato: 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
Persona (resp. second.): Baños NavarroRaúl
Sommario/riassunto: 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.
Altri titoli varianti: Optimization Methods Applied to Power Systems
Titolo autorizzato: Optimization Methods Applied to Power Systems: Volume 1  Visualizza cluster
ISBN: 3-03921-131-5
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910346859603321
Lo trovi qui: Univ. Federico II
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