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Emerging and Advanced Green Energy Technologies for Sustainable and Resilient Future Grid

Emerging and Advanced Green Energy Technologies for Sustainable and Resilient Future Grid

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This reprint presents various aspects of the future grid, which is the next generation of the electrical grid and will enable the smart integration of conventional, renewable, and distributed power generation, energy storage, transmission and distribution, and demand management. Renewable energy is crucial in transitioning to a less carbon-intensive economy and a more sustainable energy system. The high penetration and uncertain power outputs of renewable energy pose great challenges to the stable operation of energy systems. The deployment of the smart grid is revolutionary, and also imperative around the world. It involves and deals with multidisciplinary fields such as energy sources, control systems, communications, computational generation, transmission, distribution, customer operations, markets, and service providers. Smart grids are emerging in both developed and developing countries, with the aim of achieving a reliable and secure electricity supply. Smart grids will eventually require standards, policy, and a regulatory framework for successful implementation. This reprint addresses the emerging and advanced green energy technologies for a sustainable and resilient future grid, and provides a platform to enhance interdisciplinary research and share the most recent ideas.

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Keywords

  • advanced metering infrastructure
  • asynchronous generators
  • batteries
  • bio-inspired algorithms
  • blockchain
  • campus microgrid
  • cluster
  • Communication technologies
  • coordinated control
  • DC microgrid
  • DC/DC converter
  • decentralized
  • decentralized control
  • demand response
  • demand-side management
  • Digital signal processing
  • Dimensionality Reduction
  • direct field-oriented control
  • distributed energy resources
  • distributed generation
  • dual-bridge
  • Eigenvalues
  • enabling technologies
  • energy community
  • energy management system
  • energy storage system
  • Equilibrium Optimizer
  • Ethereum
  • extended Kalman filter (EKF) algorithm
  • fault
  • fault current limiter (FCL)
  • genetic algorithm
  • green buildings
  • harmonic estimation
  • heat transfer fluid
  • History of engineering & technology
  • integral-proportional
  • internal fault currents
  • invariant set
  • islanded mode
  • isolated DC–DC converter
  • latent heat
  • life-cycle cost
  • LLC resonant converter
  • load clustering techniques
  • load forecasting
  • low-power consumer electronic appliances
  • low-voltage distribution system
  • magnetic inrush currents
  • microgrid
  • microgrid standards
  • multi-objective
  • multiple linear regression
  • n/a
  • nanogrid
  • non-intrusive identification of appliance usage patterns
  • optimal scheduling
  • parabolic dish
  • particle swarm optimization
  • Phase change material
  • photovoltaics
  • platform
  • PLL (phase-locked loop)
  • polynomial regression
  • power cloud
  • power optimizer
  • power quality
  • primary frequency control
  • profit-based scheduling
  • prosumer market
  • reinforcement learning
  • renewable energy
  • Renewable energy resources
  • Renewable energy sources
  • robust tracking
  • secondary frequency control
  • simple linear regression
  • Simulink model
  • sizing methodologies
  • small signal stability
  • Smart grid
  • Smart Home
  • Smart meter
  • spectral analysis
  • spectral kurtosis
  • state of charge
  • Technology, engineering, agriculture
  • Technology: general issues
  • Thermal energy storage
  • third-order sliding mode control
  • total harmonic distortion
  • transformer
  • true power factor
  • variable speed dual-rotor wind turbine
  • vehicle-to-grid
  • VSC (voltage source converter)
  • weak grid
  • wide voltage range
  • wireless sensor network

Links

DOI: 10.3390/books978-3-0365-5770-0

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