LEADER 04687nam 2201093z- 450 001 9910557488503321 005 20231214133154.0 035 $a(CKB)5400000000042947 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/69081 035 $a(EXLCZ)995400000000042947 100 $a20202105d2020 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aOptimal Control of Hybrid Systems and Renewable Energies 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2020 215 $a1 electronic resource (248 p.) 311 $a3-03928-897-0 311 $a3-03928-898-9 330 $aThis book is a collection of papers covering various aspects of the optimal control of power and energy production from renewable resources (wind, PV, biomass, hydrogen, etc.). In particular, attention is focused both on the optimal control of new technologies and on their integration in buildings, microgrids, and energy markets. The examples presented in this book are among the most promising technologies for satisfying an increasing share of thermal and electrical demands with renewable sources: from solar cooling plants to offshore wind generation; hybrid plants, combining traditional and renewable sources, are also considered, as well as traditional and innovative storage systems. Innovative solutions for transportation systems are also explored for both railway infrastructures and advanced light rail vehicles. The optimization and control of new solutions for the power network are addressed in detail: specifically, special attention is paid to microgrids as new paradigms for distribution networks, but also in other applications (e.g., shipboards). Finally, optimization and simulation models within SCADA and energy management systems are considered. This book is intended for engineers, researchers, and practitioners that work in the field of energy, smart grid, renewable resources, and their optimization and control. 606 $aHistory of engineering & technology$2bicssc 610 $afuel cell 610 $apower control 610 $amulti-objective optimization 610 $aequivalent consumption minimization strategy 610 $afirefly algorithm 610 $ahybrid light rail vehicle 610 $asolar energy 610 $aFresnel collector 610 $amodel predictive control 610 $afuzzy algorithm 610 $ahybrid systems 610 $ashipboard microgrids 610 $aphotovoltaic (PV) systems 610 $aenergy storage technologies 610 $amicrogrids 610 $ahybrid energy storage systems (HESS) 610 $afloating offshore wind turbine 610 $aaerodynamic platform stabiliser 610 $awave rejection 610 $afeedback loop 610 $acontrol 610 $aoptimisation 610 $aenergy storage 610 $apumped storage hydro 610 $aternary pumped storage hydro 610 $adynamic simulation 610 $adynamic modeling 610 $ainertia 610 $arenewable energy 610 $apower system 610 $aprimary control 610 $aBESS 610 $amicrogrid 610 $aGrid Forming 610 $aGrid Support 610 $aInverter Control 610 $aDIgSILENT PowerFactory 610 $aEMT simulations 610 $aeco-friendliness 610 $asmart railway 610 $asmart electrical infrastructure 610 $acontrol algorithm 610 $aregenerative braking energy 610 $asmart grid 610 $aoptimization 610 $aenergy management system 610 $ainterconnected buildings 610 $arenewable resources 610 $amulti-level 610 $aaggregator 610 $awind-diesel power plant 610 $aintelligent control system 610 $adiesel-generator set 610 $ainternal combustion engine 610 $aartificial neural network 610 $afuel economy 610 $aco-simulation 610 $aSCADA 610 $aoperator training 610 $abuilding energy management system 610 $asimulation 610 $aequivalent electric circuit 615 7$aHistory of engineering & technology 700 $aRobba$b Michela$4edt$01303379 702 $aRossi$b Mansueto$4edt 702 $aRobba$b Michela$4oth 702 $aRossi$b Mansueto$4oth 906 $aBOOK 912 $a9910557488503321 996 $aOptimal Control of Hybrid Systems and Renewable Energies$93026970 997 $aUNINA