Reprint

Intelligent Control in Energy Systems

Edited by
August 2019
508 pages
  • ISBN978-3-03921-415-0 (Paperback)
  • ISBN978-3-03921-416-7 (PDF)

This book is a reprint of the Special Issue Intelligent Control in Energy Systems that was published in

Chemistry & Materials Science
Engineering
Environmental & Earth Sciences
Physical Sciences
Summary

The editors of this Special Issue titled “Intelligent Control in Energy Systems” have attempted to create a book containing original technical articles addressing various elements of intelligent control in energy systems. In response to our call for papers, we received 60 submissions. Of those submissions, 27 were published and 33 were rejected. In this book, we offer the 27 accepted technical articles as well as one editorial. Authors from 15 countries (China, Netherlands, Spain, Tunisia, United Sates of America, Korea, Brazil, Egypt, Denmark, Indonesia, Oman, Canada, Algeria, Mexico, and the Czech Republic) elaborate on several aspects of intelligent control in energy systems. The book covers a broad range of topics including fuzzy PID in automotive fuel cell and MPPT tracking, neural networks for fuel cell control and dynamic optimization of energy management, adaptive control on power systems, hierarchical Petri Nets in microgrid management, model predictive control for electric vehicle battery and frequency regulation in HVAC systems, deep learning for power consumption forecasting, decision trees for wind systems, risk analysis for demand side management, finite state automata for HVAC control, robust μ-synthesis for microgrids, and neuro-fuzzy systems in energy storage.

Format
  • Paperback
License
© 2019 by the authors; CC BY-NC-ND licence
Keywords
lithium-ion battery pack; soft internal short circuit; model-based fault detection; battery safety; internal short circuit resistance; load frequency control; model uncertainty; μ-synthesis; differential evolution; decision tree; preventive control; Fault Ride Through Capability; doubly-fed induction generator; ancillary service; frequency regulation; demand response; commercial/residential buildings; HVAC systems; model predictive control; rule-based control; position control; static friction; exhaust gas recirculation (EGR) valve system; automotive application; hybrid electric vehicle; compound structured permanent-magnet motor; energy management strategy; instantaneous optimization minimum power loss; back propagation (BP) neural network; power transformer winding; vibration characteristics; multiphysical field analysis; short-circuit experiment; winding-fault characteristics; occupancy model; occupancy-based control; model predictive control; energy efficiency; building climate control; solar monitoring system; photovoltaic array; energy management; demand side management; operation limit violations; probabilistic power flow; network sensitivity; neural networks; railway; high-speed railway; neutral section; medium voltage; thyristor; AC static switch; adaptive backstepping; nonlinear power systems; sliding mode control; error compensation; κ-class function; energy internet; multi-energy complementary; integrated energy systems; distribution network planning; electric power consumption; multi-step forecasting; long short term memory; convolutional neural network; system identification; parameter estimation; system modelling; model reduction; polynomial expansion; orthogonal least square; industrial process; electric vehicle; battery packs; active balance; model predictive control; hierarchical Petri nets; urban microgrids; phase-load balancing; fuzzy logic controller; MPPT: maximum power point tracking; photovoltaic system; step-up boost converter; proton exchange membrane fuel cell; four phases interleaved boost converter; neural network controller; AC-DC converters; bridgeless SEPIC PFC converter; repetitive controller; current distortion; current controller design; stochastic power system operating point drift; wind integrated power system; power oscillations; adaptive damping control; continuous voltage control; multiple-point control; interaction minimization; pilot point; adjacent areas; ANFIS; artificial neural network; fuzzy; small scale compressed air energy storage (SS-CAES); voltage controlling; electric meter; error estimation; line loss; RLS; double forgetting factors; hybrid power plant; control architecture; coordination of reserves; frequency support; frequency control dead band; fast frequency response; frequency containment reserve; line switching; voltage violations; three-stage; fractional order fuzzy PID controller; neural network algorithm; PEM fuel cell; MPPT operation; sensitivity analysis; intelligent control; artificial intelligence; energy management system; smart micro-grid; energy systems; intelligent buildings; forecasting; multi-agent control; optimization