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Energies2018,11, 1948
Hydrogen fuel canbeobtained fromtwosources forPEMFCoperation: chemicalproduction
andelectrolysis. As thecostsofdifferent energysourcesandstoragearenot the same,weutilized
standard load profiles, irradiance, andwind data, as shown in Figure 7, for the simulation and
optimizationanalyses.
(a) Load profiles.
(b) Irradiance (c) Wind speed
7LPH KU
8VHU /RDG $YHUDJH
2IILFH
/DE
+RXVHKROG
7LPH KU
6RODU SURILOH $YHUDJH
,UUDGLDQFH
[
7LPH V
ᖼ喽:LQG SURILOH $YHUDJH
Figure7.Dailyaveragedata.
The system responses can be applied to evaluate the system cost and reliability under
differentconditions.
Thesystemcost J(b,s,w)wasdefinedas follows[4]:
J(b,s,w) = Ji(b,s,w)+ Jo(b,s,w) (5)
where Ji and Jo were the initial and operation costs, respectively, of the hybrid power system.
In Equation (5), b, s, andw represent the numbers of the battery, PV array, andWT in units of
202
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
- Informatik