Intelligent Control in Energy Systems

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

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 t...