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Optimization Methods Applied to Power Systems: Volume 2
https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode ;ISBN: 3039211579 ;ISBN: 9783039211579 ;ISBN: 3039211560 ;ISBN: 9783039211562 ;DOI: 10.3390/books978-3-03921-157-9
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Title:
Optimization Methods Applied to Power Systems: Volume 2
Author:
Baños Navarro, Raúl
;
Montoya, Francisco G
Subjects:
AC/DC hybrid active distribution
;
active distribution system
;
active shielding
;
adaptive consensus algorithm
;
affine arithmetic
;
affinity propagation clustering
;
artificial bee colony
;
artificial lighting
;
battery energy storage system
;
bio-inspired algorithms
;
Book Industry Communication
;
building energy management system
;
C&I particle swarm optimization
;
Cable joint
;
calibration
;
Cameroon
;
CCHP system
;
chaos optimization algorithm (COA)
;
charging/discharging
;
congestion management
;
consensus
;
considerable decomposition
;
constrained parameter estimation
;
controllable response
;
cost minimization
;
cross-entropy
;
current margins
;
data center
;
day-ahead load forecasting
;
DC optimal power flow
;
decentralized and collaborative optimization
;
demand bidding
;
demand response
;
demand uncertainty
;
dependability
;
developed grew wolf optimizer
;
discrete wind driven optimization
;
distributed generations (DGs)
;
distributed heat-electricity energy management
;
distribution network reconfiguration
;
dragonfly algorithm
;
dynamic solving framework
;
economic load dispatch problem (ELD)
;
eight searching sub-regions
;
electric energy costs
;
electric power contracts
;
electric vehicle
;
electric vehicles
;
energy flow model
;
energy internet
;
energy management
;
energy storage
;
energy storage system
;
ETAP
;
evolutionary algorithms
;
evolutionary computation
;
extended Kalman filter
;
feature selection
;
fitness function
;
fuzzy algorithm
;
generalized generation distribution factors
;
genetic algorithm
;
GenOpt
;
geometric algebra
;
heterogeneous networks
;
hierarchical scheduling
;
History of engineering & technology
;
HOMER software
;
HVAC system
;
hybrid membrane computing
;
hybrid method
;
hybrid renewable energy system
;
IEEE Std. 80-2000
;
integration assessment
;
intelligent scatter search
;
inter-turn shorted-circuit fault (ISCF)
;
interactive load
;
internal defect
;
interval variables
;
islanded microgrid
;
JAYA algorithm
;
linear discriminant analysis (LDA)
;
load curtailment
;
loss minimization
;
low-voltage networks
;
magnetic field mitigation
;
metaheuristic
;
micro grid
;
micro-phasor measurement unit
;
MILP
;
modular predictor
;
multi-objective particle swarm optimization
;
multi-objective particle swarm optimization algorithm
;
multi-population method (MP)
;
multi-stakeholders
;
multiobjective optimization
;
mutual information theory
;
MV/LV substation
;
n/a
;
neural network
;
non-sinusoidal circuits
;
off-design performance
;
off-grid
;
optimal congestion threshold
;
optimal operation
;
optimal power flow
;
optimal reactive power dispatch
;
optimization
;
optimization methods
;
optimizing-scenarios method
;
overhead
;
particle encoding method
;
particle swarm optimization
;
passive shielding
;
PCS efficiency
;
photovoltaic
;
piecewise linear techniques
;
power architectures
;
power factor compensation
;
power flow
;
power optimization
;
power system optimization
;
power system unit commitment
;
power systems
;
power transfer distribution factors
;
principal component analysis
;
prosumer
;
pumped-hydro energy storage
;
radial basis function
;
radiance
;
renewable energy sources
;
ringdown detection
;
runner-root algorithm (RRA)
;
rural electrification
;
Schwarz’s equation
;
simulation
;
smart grid
;
SOCP relaxations
;
Stackelberg game
;
stochastic optimization
;
stochastic state estimation
;
street light points
;
strong track filter (STF)
;
sub-Saharan Africa
;
support vector machine
;
sustainability
;
switched reluctance machine (SRM)
;
tabu search
;
Technology, engineering, agriculture
;
Technology: general issues
;
the biomimetic membrane computing
;
the genetic algorithm based P system
;
thermal probability density
;
transformer-fault diagnosis
;
transient stability
;
two-point estimation method
;
two-stage feature selection
;
underground
;
unit commitment
;
virtual power plant
;
voltage deviation
;
wind energy
;
wind power
Description:
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.
Publisher:
MDPI
Creation Date:
2019
Format:
306
Language:
English
Identifier:
ISBN: 3039211579
ISBN: 9783039211579
ISBN: 3039211560
ISBN: 9783039211562
DOI: 10.3390/books978-3-03921-157-9
Source:
DOAB: Directory of Open Access Books
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