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010   $a3-031-29692-3
024 7 $a10.1007/978-3-031-29692-5
035   $a(CKB)26748006900041
035   $a(MiAaPQ)EBC7248754
035   $a(Au-PeEL)EBL7248754
035   $a(DE-He213)978-3-031-29692-5
035   $a(BIP)089067526
035   $a(PPN)270619704
035   $a(MiAaPQ)EBC7248544
035   $a(EXLCZ)9926748006900041
100   $a20230511d2023      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aEnhancement of Grid-Connected Photovoltaic Systems Using Artificial Intelligence /$fby Amal M. Abd El- Hameid, Adel A. Elbaset, Mohamed Ebeed, Montaser Abdelsattar
205   $a1st ed. 2023.
210  1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023.
215   $a1 online resource (243 pages)
311 08$a9783031296918 
320   $aIncludes bibliographical references and index.
327   $aIntroduction -- Power Quality Issues -- Stochastic Optimal Planning of Distribution System Considering Integrated Photovoltaic-Based DG and D-STATCOM -- Optimal Allocation of Distributed Energy Resources Using Modern Optimization Techniques -- Results and Discussion -- Conclusions and Future Work.
330   $aEnhancement of Grid-Connected Photovoltaic Systems Using Artificial Intelligence presents methods for monitoring transmission systems and enhancing distribution system performance using modern optimization techniques considering different multi-objective functions such as voltage loss sensitivity indexes, reducing total annual cost, and voltage deviation. The authors offer a comprehensive survey of distributed energy resources (DERs), explain the backward/forward sweep (BFS) power flow algorithm, and present simulation results on the optimal integration of photovoltaic-based distributed generators (PV-DG) and distribution static synchronous compensators (DSTATCOM) in different transmission and distribution systems. This book will be a valuable academic and industry resource for electrical engineers, students, and researchers working on optimization techniques, photovoltaic systems, energy engineering, and artificial intelligence. Covers developmentsto enhance the integration of renewable energy sources; Presents simulation results, including standard IEEE bus test systems; Includes MATLAB M-file codes.
606   $aPhotovoltaic power generation
606   $aRenewable energy sources
606   $aElectric power distribution
606   $aPower electronics
606   $aElectric power-plants
606   $aPhotovoltaics
606   $aRenewable Energy
606   $aEnergy Grids and Networks
606   $aPower Electronics
606   $aPower Stations
615  0$aPhotovoltaic power generation.
615  0$aRenewable energy sources.
615  0$aElectric power distribution.
615  0$aPower electronics.
615  0$aElectric power-plants.
615 14$aPhotovoltaics.
615 24$aRenewable Energy.
615 24$aEnergy Grids and Networks.
615 24$aPower Electronics.
615 24$aPower Stations.
676   $a621.31244
676   $a621.31244
700   $aHameid$b Amal M. Abd El-$01364783
702   $aEbeed$b Mohamed
702   $aAbdelsattar$b Montaser
702   $aAbd El-Hameid$b Amal M.
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910726294403321
996   $aEnhancement of grid-connected photovoltaic systems using artificial intelligence$93417339
997   $aUNINA