A Bi-level Optimization-based Architecture for the Scheduling and Real-Time Control of Microgrids With Hydrogen Production System Article Swipe
Daria Bellotti
,
Yassine Ennassiri
,
Giulio Ferro
,
Loredana Magistri
,
Michela Robba
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.ifacol.2023.10.1015
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.ifacol.2023.10.1015
This paper proposes a novel bi-level architecture for the scheduling and real-time control of a microgrid with a hydrogen production system. It consists of an economic optimization that performs the operational management of the microgrid at the higher level. At the lower level, a real-time controller, based on a Reference Governor (RG), is designed to control the stack's temperature of a proton exchange membrane (PEM) electrolyzer under the flexible operation imposed by the economic optimization. When switching from one power level to another, the stack's temperature is having a sudden change that might lead to a violation of the operating limits set by the manufacturer. With the RG-based controller added at the lower level, the operating limits of the temperature are respected, and better performances of the system are guaranteed. The effectiveness of the proposed bi-level architecture has been proved through a real case study, in which the sudden changes in the temperatures have significantly been reduced by up to 91% with respect to the optimal operational management of the overall microgrid.
Related Topics
Concepts
Microgrid
Scheduling (production processes)
Stack (abstract data type)
Computer science
Control theory (sociology)
Proton exchange membrane fuel cell
Control engineering
Engineering
Control (management)
Operations management
Chemical engineering
Programming language
Fuel cells
Artificial intelligence
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.ifacol.2023.10.1015
- OA Status
- diamond
- Cited By
- 2
- References
- 7
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4388918362
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4388918362Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.ifacol.2023.10.1015Digital Object Identifier
- Title
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A Bi-level Optimization-based Architecture for the Scheduling and Real-Time Control of Microgrids With Hydrogen Production SystemWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-01-01Full publication date if available
- Authors
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Daria Bellotti, Yassine Ennassiri, Giulio Ferro, Loredana Magistri, Michela RobbaList of authors in order
- Landing page
-
https://doi.org/10.1016/j.ifacol.2023.10.1015Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1016/j.ifacol.2023.10.1015Direct OA link when available
- Concepts
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Microgrid, Scheduling (production processes), Stack (abstract data type), Computer science, Control theory (sociology), Proton exchange membrane fuel cell, Control engineering, Engineering, Control (management), Operations management, Chemical engineering, Programming language, Fuel cells, Artificial intelligenceTop concepts (fields/topics) attached by OpenAlex
- Cited by
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2Total citation count in OpenAlex
- Citations by year (recent)
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2024: 2Per-year citation counts (last 5 years)
- References (count)
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7Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W3159296886, https://openalex.org/W4281768612, https://openalex.org/W4200543929, https://openalex.org/W2288446387, https://openalex.org/W2069048963, https://openalex.org/W2554173252, https://openalex.org/W2941870083 |
| referenced_works_count | 7 |
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| corresponding_author_ids | https://openalex.org/A5013544209, https://openalex.org/A5029096627, https://openalex.org/A5020334595, https://openalex.org/A5039477899, https://openalex.org/A5091247002 |
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| corresponding_institution_ids | https://openalex.org/I83816512 |
| citation_normalized_percentile.value | 0.6432245 |
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