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Energies2018,11, 1948
the steady wind the varying wind
(a) Time responses of the wind turbine.
the steady wind the varying wind
(b) AC power v.s. wind speeds.
voltage current power
(c) Scatter diagrams of the DC power v.s. AC power
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Figure3.Experimental responsesof thewindturbine.
2.3. TheHydrogenElectrolysisModel
Thehydrogenelectrolyzer transfers redundantenergy, i.e., theextra-renewableenergywhenthe
batterySOCisnear100%, intohydrogenwhenthepowersupply isgreater thanthe load. Thestored
hydrogen is thenconverted intoelectricitybyaPEMFCwhenthe loaddemandexceeds thepower
supply. Therefore, a theoretical model can be built to estimate hydrogen production based on
redundant renewable energy. Ahydrogen electrolyzer utilizes this redundant energy toproduce
hydrogen. Thehydrogenelectrolyzation system is shown inFigure 4. It consists of a commercial
hydrogen electrolyzer, HGL-1000U, with a rating energy consumption of 400W and hydrogen
198
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