LEADER 03653nam  2200853z- 450 
001 9910557588003321
005 20231214133650.0
035   $a(CKB)5400000000043768
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/68672
035   $a(EXLCZ)995400000000043768
100   $a20202105d2020      |y             0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aStandalone Renewable Energy Systems$eModeling and Controlling
210   $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2020
215   $a1 electronic resource (188 p.)
311   $a3-03936-184-8 
311   $a3-03936-185-6 
330   $aStandalone (off-grid) renewable energy systems supply electricity in places where there is no access to a standard electrical grid. These systems may include photovoltaic generators, wind turbines, hydro turbines or any other renewable electrical generator. Usually, this kind of system includes electricity storage (commonly lead-acid batteries, but also other types of storage can be used). In some cases, a backup generator (usually powered by fossil fuel, diesel or gasoline) is part of the hybrid system. The modelling of the components, the control of the system and the simulation of the performance of the whole system are necessary to evaluate the system technically and economically. The optimization of the sizing and/or the control is also an important task in this kind of system.
517   $aStandalone Renewable Energy Systems 
606   $aResearch & information: general$2bicssc
610   $arenewable energy
610   $alow-temperature energy storage
610   $aSOC
610   $asimulation
610   $asustainability
610   $agreenhouse gas emission
610   $aeconomic feasibility
610   $aphotovoltaic systems
610   $aMPPT
610   $apartial shading condition
610   $atransfer reinforcement learning
610   $aspace decomposition
610   $amicrogrids
610   $aenergy management
610   $aoptimization
610   $aphotovoltaic
610   $aenergy storage
610   $ademand response program (DRP)
610   $aphotovoltaic system (PV)
610   $apumped heat energy storage (PHES)
610   $acritical peak pricing (CPP) DRP
610   $atime-ahead dynamic pricing (TADP) DRP
610   $aloss of power supply probability (LPSP)
610   $aenergy storage system (ESS)
610   $aMulti-Objective Particle Swarm Optimization (MOPSO)
610   $apitch control
610   $apermanent magnet-synchronous generator (PMSG)
610   $alimit extracted power
610   $anonlinear adaptive control (NAC)
610   $aperturbation observer
610   $avanadium redox flow battery
610   $agenetic algorithm
610   $abinary particle swarm optimization
610   $atime-varying mirrored S-shaped transfer function
610   $agreenhouse gas emissions
610   $aheliostat
610   $asun tracking
610   $asolar energy
610   $aembedded system
610   $afuzzy logic control
610   $acenter of sums defuzzification method
615  7$aResearch & information: general
700   $aDufo-Lo?pez$b Rodolfo$4edt$01278897
702   $aBernal-Agusti?n$b Jose? L$4edt
702   $aDufo-Lo?pez$b Rodolfo$4oth
702   $aBernal-Agusti?n$b Jose? L$4oth
906   $aBOOK
912   $a9910557588003321
996   $aStandalone Renewable Energy Systems$93014060
997   $aUNINA