Reprint

Modeling, Analysis and Control Processes of New Energy Power Systems

Edited by
September 2024
310 pages
  • ISBN978-3-7258-1975-1 (Hardback)
  • ISBN978-3-7258-1976-8 (PDF)

This is a Reprint of the Special Issue Modeling, Analysis and Control Processes of New Energy Power Systems that was published in

Biology & Life Sciences
Chemistry & Materials Science
Computer Science & Mathematics
Engineering
Environmental & Earth Sciences
Summary

Countries all over the world regard the development of new energy represented by wind power and photovoltaic power as the key way to achieve low-carbon and green development. The scale of global new energy power generation continues to grow, and the integration of high-penetration new energy will become the basic feature and development trend of power systems worldwide. The power generation principle, control strategy, and grid connection mode of new energy units such as wind power and photovoltaic power are significantly different from those of traditional power units. The fluctuation in new energy and the high proportion of power electronic devices bring new challenges to new energy power systems, including the spatio-temporal mismatch of power supply and load, as well as the stability and security of power systems. In order to overcome these challenges, they require that the modeling, analysis, and control methods of power systems can adapt to the transformation of power systems. This reprint aims to promote state-of-the-art research in “Modeling, Analysis and Control Processes of New Energy Power Systems”. The published articles mainly cover original research on the economic planning and operation of new energy power systems, the stability analysis and control of new energy power systems, and the modeling of power equipment.

Format
  • Hardback
License and Copyright
© 2024 by the authors; CC BY-NC-ND license
Keywords
hybrid hierarchical HVDC; high-voltage and low-voltage converters; transmission loss function; voltage deviation; optimal current allocation; direct drive wind turbine; grid fault; nonlinear oscillation; transient stability; time-frequency analysis; transient switch; flexibility constraints; fuzzy comprehensive evaluation method; MOPSO; MREPS; optimal day-ahead scheduling; five-phase induction motor; magnetic noise; pole-slot numbers; electromagnetic vibration; five-phase induction motor; extended Kalman filter; speed sensorless control; parameter identification; five-phase induction motor; magnetic noise; slot optimization; electromagnetic vibration; linear phase-shifting transformer (LPST); distributed magnetic circuit method (DMCM); cogging effect; Schwarz–Christoffel transformation (SCT); magnetic field; met mast layout; REOF; DPSO macro zoning; micro quantitative siting; integrated energy system; multi-energy trading; consumer psychology; convertible load; ADN; HESS; operation strategy; optimal configuration; frequency regulation; synchronous condenser transformed from thermal unit (SCTTU); newly established synchronous condenser (NESC); life-cycle cost (LCC); blind number theory; low-carbon capacity; city regional integrated energy system; energy markets; ANP-CRITIC; evaluation; five-phase induction motor; model predictive current control; virtual voltage vectors; static voltage stability; machine learning; class imbalance problem; random under-sampling; bagging; artificial neural network; wind turbine; main bearing; fault diagnosis; noise; deep residual shrinkage network; auxiliary classifier generative adversarial network; integrated energy system; Stackelberg game; time-of-use pricing; demand response; Nash equilibrium; high voltage direct current; harmonic components; voltage prediction; commutation failure suppression; commutation failure prevention; n/a