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Energies2018,11, 1948
an improvement insystemcostsaftersizeadjustment.ChenandWang[10] includedirradiationand
winddatainahybridsystemmodeltooptimizesystemcostsandreliability. Thepresentpaperwillalso
utilizehistoricweatherdataandloadconditionswhenanalyzingthe impactsof systemconfigurations.
Thepaperisarrangedasfollows: Section2introducesageneralhybridpowersystemthatconsists
of solar cells,WTs, a fuel cell, hydrogenelectrolysis, chemical hydrogengeneration, andbatteries.
Weextendaprevioushybridpowermodel [4]byaddingWTandhydrogenelectrozationmodules.
Then, systemcostandreliability functionsaredefinedtoevaluatesystemperformance. Basedonthis
generalhybridpowermodel,weapply threestandard loadconditions (laboratory,office,andhouse)
to fourspecifiedhybridpowersystemstoestimate the impactofsystemconfigurationonperformance.
Section3discusses theoptimizationof the fourhybridpowermodelsandshowsthatbothsystemcost
andreliabilitycanbe improvedbytuningthesystemcomponentsizes. Basedontheresults, thesolar
batterysystemispreferablebecauseofhighhydrogencostsatpresent.Wealsopredict the system
costsatwhichhydrogenenergycouldbecomefeasible. Last, conclusionsaredrawninSection4.
2.Results
This section builds a general hybrid powermodel that consists of a PV array, aWT, a PEMFC,
hydrogenelectrolysis,chemicalhydrogengeneration,andbatteries.WeappliedaMatlab/SimPowerSystem
(r2014a,MathWorks, Inc.,Natick,MA,USA)model topredict theperformanceof fourdifferenthybrid
powersystemsunderthreetypical loads. Furthermore,costandreliability indexesweredefinedtoquantify
performancemeasuresofthehybridsystems.
2.1.HybridPowerSystems
Figure1ashowsageneralhybridpowersystem,whichconsistsofa3kWPEMFC,achemical
hydrogenproduction systemwith sodiumborohydride (NaBH4), a 410Whydrogen electrolyzer,
1.32kWPVarrays,a0.2kWWT,a15AhLi-Febatteryset, andpowerelectronicdevices. Thesystem
specifications are illustrated inTable 1 [19–25]. The systemhas three energy sources (solar,wind,
andaPEMFC)andtwoenergystoragemethods (batteryandhydrogenelectrolysis).
Regarding energy sources, solar power is connected directly to a DC bus. Wind power is
transferredbya controller andconnects to theDCbus. Asboth solarpower andwindpowerare
significantly influencedbytheweather,aPEMFCisusedtoprovidereliableenergywhennecessary.
ThePEMFCcantransformhydrogenenergytoelectricityandcanprovidecontinuouspoweras long
as thehydrogensupply is sufficient. Twohydrogensupplymethodsare considered: the chemical
reactionofNaBH4andhydrogenelectrolysis. Theformercanprovidepowerwithhigh-energydensity
using anauto-batching systemdevelopedpreviously [25,26]; the latter canbe regardedas energy
storage,becauseredundantrenewableenergycanbestored in the formofhydrogen[24].
For energy storage, a Li-Fe battery is used for short-termelectricity storage [17] because the
batteryhashighefficiency(about90%),andcanabsorbpowersurgeswhenthe loadchangesrapidly.
Hydrogenelectrolysis is used for long-termstorage, considering the self-dischargingproblemsof
batteries. Abenefit of the electrolysis process is that it doesnotproduce contaminants. However,
theenergyconversionefficiency ismuchlower thanof thebattery [16].
WedevelopedthegeneralhybridpowermodelusingtheMatlab/SimPowerSystem,asshownin
Figure1b,andanalyzedthe impactsofdifferentenergysourcesandstoragemethodsonthesystem.
Inaprevious study [4], a SimPowerSystemmodelwasbuilt to includeaPEMFC,anLi-Febattery
set, PV arrays, and a chemical hydrogen production system. Themodel parameterswere tuned
basedonexperimentaldata toenable thesimulationmodel topredict theresponses/behaviorof the
experimental systemundervarious conditions. Currently, PEMFC,PVarrays, chemicalhydrogen
production,andbatterysetsareoperatedas follows[4,17,25,26]:
1. The PEMFC is switched on to provide a default current of 20 A with the highest energy
efficiency[20]whenthebatterystate-of-charge (SOC) is30%. If theSOCcontinuouslydecreases
to25%, thePEMFCcurrentoutput is increasedbyupto50A,accordingto load,until theSOCis
194
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