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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
Short-Term Load Forecasting by Artificial Intelligent Technologies
- Title
- Short-Term Load Forecasting by Artificial Intelligent Technologies
- Authors
- Wei-Chiang Hong
- Ming-Wei Li
- Guo-Feng Fan
- Editor
- MDPI
- Location
- Basel
- Date
- 2019
- Language
- English
- License
- CC BY 4.0
- ISBN
- 978-3-03897-583-0
- Size
- 17.0 x 24.4 cm
- Pages
- 448
- Keywords
- Scheduling Problems in Logistics, Transport, Timetabling, Sports, Healthcare, Engineering, Energy Management
- Category
- Informatik