2024
DOI: 10.1109/tase.2023.3292029
|View full text |Cite
|
Sign up to set email alerts
|

A Unified Control Platform and Architecture for the Integration of Wind-Hydrogen Systems Into the Grid

Abstract: Hydrogen is a promising energy vector for achieving renewable integration into the grid, thus fostering the decarbonization of the energy sector. This paper presents the control platform architecture of a real hydrogen-based energy production, storage, and re-electrification system (HESS) paired to a wind farm located in north Norway and connected to the main grid. The HESS consists of an electrolyser, a hydrogen tank, and a fuel cell. The control platform includes the management software, the control algorith… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 9 publications
(2 citation statements)
references
References 42 publications
0
2
0
Order By: Relevance
“…To ensure highquality current in MG, it is crucial to design the LCL flter properly [9]. Te integration of wind-hydrogen systems into MGs is addressed in [10], with the emphasis placed on how energy fow management is conducted by advanced control strategies. Wind-hydrogen systems utilize excess wind power to electrolyze water, producing hydrogen for energy storage and use during periods of low wind availability [11].…”
Section: Introductionmentioning
confidence: 99%
“…To ensure highquality current in MG, it is crucial to design the LCL flter properly [9]. Te integration of wind-hydrogen systems into MGs is addressed in [10], with the emphasis placed on how energy fow management is conducted by advanced control strategies. Wind-hydrogen systems utilize excess wind power to electrolyze water, producing hydrogen for energy storage and use during periods of low wind availability [11].…”
Section: Introductionmentioning
confidence: 99%
“…Traditional physic-based load forecasting models rely on thermodynamics principles and require detailed information about the building, making them time-consuming and costly for large-scale simulations [6] . On the other hand, data-driven models stand out for their high computation efficiency and good performance in capturing nonlinear and dynamic behaviour without needing detailed building information.…”
Section: Introductionmentioning
confidence: 99%