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Emerging Technologies towards Energy Cooperation between Smart Grid and Microgrids

The growing propagation of microgrids and their remarkable effects on the operation of the smart grid is leading to the development of a sustained environment which is moving away from traditional frameworks. Therefore, tending to microgrid systems to increase their range of benefits can play a sign...

Täydet tiedot

Tallennettuna:
Aineistotyyppi: Online
Kieli:englanti
Julkaistu: MDPI - Multidisciplinary Digital Publishing Institute 2024
Aiheet:
hybrid renewable energy system
bonobo optimizer
annualized system cost
optimal solution
convergence rate
renewable energy fraction
artificial intelligent algorithms
energy conservation
pareto analysis
energy consumption
eQUEST
Revit
value methodology
distributed generator
D-STATCOM
fuzzy logic controller
genetic algorithm
power quality
wind power integration
low-frequency oscillations (LFOs)
doubly-fed induction generators (DFIGs)
power system stability
damping characteristics
dynamic economic environmental dispatch
cow search algorithm
seagull optimization algorithm
tunicate swarm algorithm
firefly algorithm
optimal scheduling
optimization methods
dynamic thermal rating
probabilistic energy demand
two points approximation scheme
wind power
congestion management
electricity optimization
MPSO multi-objective optimization
suitability
power system stabilizer
static synchronous series compensator
type-2 fuzzy lead–lag controller
differential evolution
pattern search
smart grid
modern transportation system
hybrid blockchain technology
EV mobility
machine learning
synergetic control (SC) law
fuzzy neural network (FNN) approximator
fast terminal synergetic controller (FTSC)
finite-time convergence
DC/DC buck converter
market price prediction
modeling and management
optimization
renewable energy sources
energy storage system (ESS)
synchronverter
wind energy
frequency modulation (FM)
capacity configuration
microgrid
binary orientation search algorithm
demand side management
real-time pricing
energy management
multi-objective management
generation power uncertainty
operating cost
demand response
energy
smart-grid
grid operator
industrial customer
Stackelberg–particle swarm optimization
MPPT
incremental conductance (IncCond)
differential inverter
differential flyback inverter (DFI)
high-frequency transformer (HFT)
continuous modulation scheme (CMS)
harmonic compensation
renewable Resources
microgrids
generation efficiency
battery energy storage system
service scheduling
hybrid genetic algorithms
simulated annealing algorithms
tourism services
sustainability tourism
gas-insulated switchgear
failure prediction
parameter optimization
improved particle swarm optimization algorithm
active distribution network
relay protection
vector inspection
back-to-back converter
stability
microgrid control
distribution networks
power electronics
Gaussian distribution
M-estimator
power system state estimation
precision
robustness
weighted least square method
electric vehicles
energy storage systems
transmission lines planning
multi-objective Gazelle optimization algorithm
energy internet
energy router
common bus voltage
cooperative control
model transformation
optimum power flow
improved teaching–learning optimization
heat and electrical demands
combined heat and electricity systems
photovoltaic cells
modeling
parameters estimation
MSGO algorithm
artificial neural network (ANN)
solar photovoltaic (PV)
maximum power point tracking
Levenberg–Marquardt (LM)
Bayesian regularization (BR)
scaled conjugate gradient (SCG)
resilient backpropagation (RP)
blockchain
local energy trading
oracle networks
peer-to-peer
virtual power plant
distributed energy resource
distribution network planning
distributed energy storage system
flexibility quantization
improved k-means clustering algorithm
economic analysis
hosting capacity
market price
bi-level optimization
sodium–sulfur batteries
uncertainty
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics
Linkit:ONIX_20240514_9783725800872_239
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