Reprint
Energy, Electrical and Power Engineering 2021-2022
Edited by
January 2024
386 pages
- ISBN978-3-0365-9913-7 (Hardback)
- ISBN978-3-0365-9914-4 (PDF)
This book is a reprint of the Special Issue Energy, Electrical and Power Engineering 2021-2022 that was published in
Chemistry & Materials Science
Engineering
Environmental & Earth Sciences
Physical Sciences
Summary
Energy and power are playing an increasingly pivotal role in our modern life and are transforming the way we utilize energy and the way we live. This special issue brought together the latest innovations and knowledge in energy and power engineering such as new and renewable energy, power electronics and electric motor drives, distributed generation and multi-energy systems, data analytics, and artificial intelligence.
Format
- Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
phase shifting transformer; leakage reactance; transmission line; power flow control; block sparse Bayesian learning; compressed sensing; data compression; evaluation indicators; power quality steady-state data; tunnel boring machine (TBM); cutterhead torque prediction; operation parameters; transfer learning; LED lamps; luminous flux; flicker; interharmonics; sensibility; nine-level inverter; one-dimensional space vector modulation; floating capacitor voltage estimation; voltage balancing control; energy efficiency; energy mix; energy markets; COVID-19; out-of-sample data; permanent-magnet synchronous motors (PMSMs); partial demagnetization; fault diagnosis; recursive least squares (RLS); tunnel boring machine; industrial data denoising; low rank; sparse representation; fuzzy c-means clustering; electric vehicle; high power density motor design; interior permanent magnet synchronous motor; axial water jacket; high-speed permanent magnet motor; FEM; electromagnetic design; CFD; thermal analysis; analytical method; rotor strength; viscous loss; oil-filled motor; thermo-mechanical stress; CFD analysis; insulation degradation; high-speed permanent magnet machines; comprehensive characteristics; comparative; rotor length–diameter ratio; model-free predictive control; T-type three-level inverter; current gradient; stagnation effect; sector judgment; DFIG-based wind farm; general equivalent modeling; mechanism model; data-driven; weight coefficient; compressed-air energy storage; multiple timescales; ejector; burner; computational fluid dynamics (CFD); energy storage; surrogate model; design optimization; heat sinks; power converters; grid-forming converter; grid-following converter; static power transmission limit; power coupling; short circuit ratio; PMSG wind turbines; back-to-back power converters; model-independent predictive control; robust control; annual energy production; permanent magnet synchronous generator; design optimization; maximum power point tracking; wind turbine; maximum torque per ampere; high saturation; permanent magnet flux linkage; interior permanent magnet synchronous motor; nonlinear fitting model; virtual synchronous generator grid-connected system; adaptive co-regulation strategy; optimal damping ratio; phasor measurements unit (PMU); GPS spoofing attacks (GSAs); detection; correction; state estimate