LEADER 03837nam  2200841z- 450 
001 9910566463203321
005 20231214133319.0
035   $a(CKB)5680000000037749
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/80971
035   $a(EXLCZ)995680000000037749
100   $a20202205d2022      |y             0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aIntegration and Control of Distributed Renewable Energy Resources
210   $aBasel$cMDPI - Multidisciplinary Digital Publishing Institute$d2022
215   $a1 electronic resource (148 p.)
311   $a3-0365-3689-2 
311   $a3-0365-3690-6 
330   $aThe deployment of distributed renewable energy resources (DRERs) has accelerated globally due to environmental concerns and an increasing demand for electricity. DRERs are considered to be solutions to some of the current challenges related to power grids, such as reliability, resilience, efficiency, and flexibility. However, there are still several technical and non-technical challenges regarding the deployment of distributed renewable energy resources. Technical concerns associated with the integration and control of DRERs include, but are not limited, to optimal sizing and placement, optimal operation in grid-connected and islanded modes, as well as the impact of these resources on power quality, power system security, stability, and protection systems. On the other hand, non-technical challenges can be classified into three categories?regulatory issues, social issues, and economic issues. This Special Issue will address all aspects related to the integration and control of distributed renewable energy resources. It aims to understand the existing challenges and explore new solutions and practices for use in overcoming technical challenges.
606   $aTechnology: general issues$2bicssc
606   $aHistory of engineering & technology$2bicssc
610   $adistribution system
610   $amicrogrids
610   $apower quality
610   $apower system management
610   $apower system reliability
610   $asmart grids
610   $adistribution networks
610   $aMonte Carlo simulations
610   $aPV hosting capacity
610   $aphotovoltaics
610   $agreen communities
610   $aenergy independence
610   $aHOMER
610   $awind turbines
610   $apower losses
610   $apower system optimization
610   $aPV curves
610   $aDG
610   $aTSA/SCA
610   $asolar-powered electric vehicle parking lots
610   $adifferent PV technologies
610   $aPLO's profit
610   $auncertainties
610   $asmart grid paradigm
610   $adistributed generation
610   $amodel-based predictive control
610   $arobustness
610   $aworst-case scenario
610   $amin-max optimisation
610   $aintraday forecasting
610   $aGaussian process regression
610   $amachine learning
610   $aoff-grid system
610   $acomposite control strategy
610   $asolar photovoltaic panel
610   $awind turbine
610   $adiesel generator
610   $aenergy storage system (ESS)
610   $asynchronous machine (SM)
610   $apermanent magnet brushless DC machine (PMBLDCM)
610   $apower quality improvement
615  7$aTechnology: general issues
615  7$aHistory of engineering & technology
700   $aNazaripouya$b Hamidreza$4edt$01328526
702   $aNazaripouya$b Hamidreza$4oth
906   $aBOOK
912   $a9910566463203321
996   $aIntegration and Control of Distributed Renewable Energy Resources$93038647
997   $aUNINA