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energies Article TheOptimizationofHybridPowerSystemswith RenewableEnergyandHydrogenGeneration Fu-ChengWang* ID ,Yi-ShaoHsiaoandYi-ZheYang DepartmentofMechanicalEngineering,NationalTaiwanUniversity,Taipei10617,Taiwan; r03522831@ntu.edu.tw(Y.-S.H.); rogeryoun123@gmail.com(Y.-Z.Y.) * Correspondence: fcw@ntu.edu.tw;Tel.:+886-2-3366-2680 Received: 26 June2018;Accepted: 23 July2018;Published: 26 July2018 Abstract: This paper discusses the optimization of hybrid power systems, which consist of solar cells, wind turbines, fuel cells, hydrogen electrolysis, chemical hydrogen generation, and batteries. Becausehybridpowersystemshavemultipleenergysourcesandutilizedifferent typesof storage,wefirstdevelopedageneralhybridpowermodelusingtheMatlab/SimPowerSystemTM, andthentunedmodelparametersbasedontheexperimental results. Thismodelwassubsequently applied to predict the responses of four different hybrid power systems for three typical loads, withoutconductingindividualexperiments. Furthermore,costandreliability indexesweredefinedto evaluatesystemperformanceandtoderiveoptimalsystemlayouts. Finally, the impactsofhydrogen costsonsystemoptimizationwasdiscussed. In the future, thedevelopedmethodcouldbeappliedto designcustomizedhybridpowersystems. Keywords:hybridpowersystem; fuelcell; solar;wind;hydrogen;optimization; cost; reliability 1. Introduction Thedevelopment of alternative energy, such as solar,wind, geothermal, hydropower, ocean power, and hydrogen, has attracted much research attention because of the energy crisis and environmentalpollutionproblems.Amongthese, solar,wind,andhydrogenarepromisingalternative energies. Solarcellsandwindturbines (WTs)convert solar irradiationandwindpower, respectively, intoelectricalpower.Hydrogenenergycanbeconvertedintoelectricityviaanelectrochemical reaction of fuel cells. Eachtypeofenergysourcehasvariousstrengthsandweaknesses. Forexample, solarand wind energy are pollution free and relatively cheap toproduce but lack stability because of their dependenceonweather conditions. In contrast, hydrogenenergywith fuel cellsguarantees stable power suppliesbut is expensiveatpresent. Therefore, hybrid systems thatutilizemultiple energy sources and storagemethods are thebest option for reducing systemcosts and increasing system reliability. Previously, inanIranianstudy,MalekiandAskarzadeh[1]designedahybridpowersystem containingphotovoltaic (PV)arrays,aWT,adieselgenerator,andasecondarybattery. Theyshowed thatsystemsconsistingofaWT,dieselgenerator,andasecondarybatterysatisfiedthe loaddemand at the lowest cost. Basedonananalysisofweatherdata inTurkey,DevrimandBilir [2] concluded thatwind energy could compensate for solar (PV) energy inwinter. Therefore, a hybrid system withaWTcanachievebetterperformancethanonewithoutaWT.Martinez-Lucasetal. [3] studied the performance of a system based onWTs and pump storage hydropower on ElHierro Island in theCanaryarchipelago. Thishybridwind–hydropowerplant showed improvements in system performance todifferentwindspeedsandpowerdemands. The most important issues when designing hybrid power systems are the selection of the system components and the component sizes, according to load demands. Wang andChen [4] consideredahybridsystemconsistingofPVarrays,aproton-exchangemembranefuel cell (PEMFC), Energies2018,11, 1948;doi:10.3390/en11081948 www.mdpi.com/journal/energies192
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Short-Term Load Forecasting by Artificial Intelligent Technologies
Titel
Short-Term Load Forecasting by Artificial Intelligent Technologies
Autoren
Wei-Chiang Hong
Ming-Wei Li
Guo-Feng Fan
Herausgeber
MDPI
Ort
Basel
Datum
2019
Sprache
englisch
Lizenz
CC BY 4.0
ISBN
978-3-03897-583-0
Abmessungen
17.0 x 24.4 cm
Seiten
448
Schlagwörter
Scheduling Problems in Logistics, Transport, Timetabling, Sports, Healthcare, Engineering, Energy Management
Kategorie
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Short-Term Load Forecasting by Artificial Intelligent Technologies