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

• Autore: Salkuti Surender Reddy
• Pubblicazione: Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
• Descrizione fisica: 1 electronic resource (416 p.)
• Soggetto topico: Technology: general issues; History of engineering & technology
• Soggetto non controllato: islanded mode; microgrid; decentralized control; robust tracking; invariant set; thermal energy storage; parabolic dish; latent heat; phase change material; heat transfer fluid; bio-inspired algorithms; wireless sensor network; genetic algorithm; particle swarm optimization; advanced metering infrastructure; blockchain; Ethereum; isolated DC-DC converter; photovoltaics; LLC resonant converter; dual-bridge; wide voltage range; power optimizer; coordinated control; vehicle-to-grid; primary frequency control; secondary frequency control; state of charge; decentralized; Simulink model; dimensionality reduction; simple linear regression; multiple linear regression; polynomial regression; load forecasting; VSC (voltage source converter); PLL (Phase-Locked Loop); weak grid; small signal stability; eigenvalues; demand-side management; low-power consumer electronic appliances; low-voltage distribution system; non-intrusive identification of appliance usage patterns; power quality; smart home; true power factor; total harmonic distortion; renewable energy sources; energy management system; communication technologies; microgrid standards; third-order sliding mode control; asynchronous generators; variable speed dual-rotor wind turbine; direct field-oriented control; integral-proportional; transformer; internal fault currents; magnetic inrush currents; extended Kalman filter (EKF) algorithm; harmonic estimation; DC microgrid; fault; cluster; DC/DC converter; fault current limiter (FCL); multi-objective; renewable energy; profit-based scheduling; Equilibrium Optimizer; smart grid; campus microgrid; batteries; prosumer market; distributed generation; renewable energy resources; energy storage system; distributed energy resources; demand response; load clustering techniques; sizing methodologies; digital signal processing; green buildings; spectral analysis; spectral kurtosis; life-cycle cost; optimal scheduling; reinforcement learning; enabling technologies; energy community; smart meter; nanogrid; platform; power cloud
• Persona (resp. second.): SalkutiSurender Reddy
• Sommario/riassunto: 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.
• Titolo autorizzato: Emerging and Advanced Green Energy Technologies for Sustainable and Resilient Future Grid
• ISBN: 3-0365-5770-9
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910637792903321
• Lo trovi qui: Univ. Federico II