Reprint

Fractional Order Systems with Application to Electrical Power Engineering

Edited by
March 2024
318 pages
  • ISBN978-3-7258-0489-4 (Hardback)
  • ISBN978-3-7258-0490-0 (PDF)

This is a Reprint of the Special Issue Fractional Order Systems with Application to Electrical Power Engineering that was published in

Computer Science & Mathematics
Summary

This Special Issue of Fractal and Fractional entitled "Fractional Order Systems with Application to Electrical Power Engineering" showcases the latest research in fractional-order system applications for power engineering. Highlighting fractional calculus's role in modeling, design, analysis, and control, this Special Issue focuses on power electronics, electric motor drives, power systems, and more. Fractional calculus, known for modeling complex dynamic behaviors with higher precision than traditional methods, introduces memory properties and historical dependence, enhancing design flexibility. Covering a range of topics from modeling and simulation to robust control strategies and energy efficiency, this Special Issue places a special emphasis on frequency and voltage control, along with stability in fractional-order energy systems. It addresses the integration of power converters, power quality, and reliability, offering insights into improving performance and resilience in energy systems. Targeted at professionals in electrical and power engineering, this collection enriches the academic and practical discourse, providing solutions to contemporary challenges in system design and optimization. It stands as a significant contribution to advancing fractional-order systems, underscoring their importance in energy system efficiency and stability.

Format
  • Hardback
License and Copyright
© 2022 by the authors; CC BY-NC-ND license
Keywords
load frequency control; intelligent fractional-order integral (iFOI) control; grey wolf optimization (GWO); renewable energy sources (REss); interconnected modern power system; virtual inertia control; LLCL filter; active damping; fractional-order; grid-tied inverter; proportional-resonant (PR) control; fractional-order proportional integral (FOPI) controller; dead-time compensation; particle swarm optimization (PSO); voltage source inverter (VSI); permanent magnet synchronous motor (PMSM); renewable energy resources; optimization techniques; fractional order controller; power system; load frequency control; heuristic techniques; driver training-based optimization; islanded microgrid; frequency regulation; renewable energy sources; fractional order controllers; cascade controller; control methods; energy systems; renewable energy sources; energy storage systems; fractional-order system; uninterruptible power supply (UPS); model predictive control (MPC); ultra-local model (ULM); model-free predictive control (MFPC); fractional-order control (FOC); electric vehicles (EVs); fractional-order control; frequency controller; manta ray foraging optimization; modern power grids; prairie dog optimizer; load frequency control; renewable energy sources; fractional-order controllers; fuzzy logic control; sustainable; command filtered backstepping control; event-triggered control; fractional-order nonlinear systems; input quantization; nonlinear disturbance observer; fractional-order virtual inertia control; virtual inertia control; virtual synchronous generator; automatic generation control; battery energy storage; frequency regulation; electrical grid; electric vehicle application; fractional order control theory; load frequency controller (LFC); marine predator optimizer (MPA); multisourced power systems; renewable power sources; vehicle to grid (V2G)

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