Intelligent Control in Energy Systems

• Main Author: Dounis, Anastasios
• Format: eBook
• Language: English
• Published: MDPI - Multidisciplinary Digital Publishing Institute 2019
• Subjects: AC static switch; AC-DC converters; active balance; adaptive backstepping; adaptive damping control; adjacent areas; ancillary service; ANFIS; artificial intelligence; artificial neural network; automotive application; back propagation (BP) neural network; battery packs; battery safety; Book Industry Communication; bridgeless SEPIC PFC converter; building climate control; class function; commercial/residential buildings; compound structured permanent-magnet motor; continuous voltage control; control architecture; convolutional neural network; coordination of reserves; current controller design; current distortion; decision tree; demand response; demand side management; differential evolution; distribution network planning; double forgetting factors; doubly-fed induction generator; electric meter; electric power consumption; electric vehicle; energy efficiency; energy internet; energy management; energy management strategy; energy management system; energy systems; error compensation; error estimation; exhaust gas recirculation (EGR) valve system; fast frequency response; Fault Ride Through Capability; forecasting; four phases interleaved boost converter; fractional order fuzzy PID controller; frequency containment reserve; frequency control dead band; frequency regulation; frequency support; fuzzy; fuzzy logic controller; hierarchical Petri nets; high-speed railway; HVAC systems; hybrid electric vehicle; hybrid power plant; industrial process; instantaneous optimization minimum power loss; integrated energy systems; intelligent buildings; intelligent control; interaction minimization; internal short circuit resistance; line loss; line switching; lithium-ion battery pack; load frequency control; long short term memory; medium voltage; model predictive control; model reduction; model uncertainty; model-based fault detection; MPPT operation; MPPT: maximum power point tracking; multi-agent control; multi-energy complementary; multi-step forecasting; multiphysical field analysis; multiple-point control; network sensitivity; neural network algorithm; neural network controller; neural networks; neutral section; nonlinear power systems; occupancy model; occupancy-based control; operation limit violations; optimization; orthogonal least square; parameter estimation; PEM fuel cell; phase-load balancing; photovoltaic array; photovoltaic system; pilot point; polynomial expansion; position control; power oscillations; power transformer winding; preventive control; probabilistic power flow; proton exchange membrane fuel cell; Q1-390; QC1-999; railway; Reference, information & interdisciplinary subjects; repetitive controller; Research & information: general; RLS; rule-based control; sensitivity analysis; short-circuit experiment; sliding mode control; small scale compressed air energy storage (SS-CAES); smart micro-grid; soft internal short circuit; solar monitoring system; static friction; step-up boost converter; stochastic power system operating point drift; synthesis; system identification; system modelling; three-stage; thyristor; urban microgrids; vibration characteristics; voltage controlling; voltage violations; wind integrated power system; winding-fault characteristics
• ISBN: 9783039214167; 3039214160; 9783039214150; 3039214152
• DOI: 10.3390/books978-3-03921-416-7

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 ?-synthesis for microgrids, and neuro-fuzzy systems in energy storage.