Multi-time-scale economic scheduling method for electro-hydrogen integrated energy system based on day-ahead long-time-scale and intra-day MPC hierarchical rolling optimization Article Swipe
YOU?
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· 2023
· Open Access
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· DOI: https://doi.org/10.3389/fenrg.2023.1132005
To build a clean, secure, and efficient energy system, the hydrogen energy is an important developing trend for the energy revolution, and electro-hydrogen coupling system is expected to play an important role in the future. To obtain the optimal economic scheduling of the electro-hydrogen integrated energy system (E-H IES), this paper firstly establishes a refined model of the electrolyzer and hydrogen fuel cell and then proposes an optimal scheduling model based on day-ahead long-time-scale optimization and intra-day model predictive control (MPC) hierarchical rolling optimization. In the day-ahead stage, a long-time-scale optimization considering the impact of multi-day forecast information is proposed when performing the day-ahead optimization to achieve the effect of inter-day energy transfer of hydrogen energy and improve the overall economic efficiency. In addition, during the intra-day stage, the MPC is adopted to implement hierarchical rolling optimization to track and correct the day-ahead schedule and achieve coordinated operation between multi-energy systems while taking into account the different energy transfer characteristics. Finally, the simulation results demonstrate the feasibility of the proposed optimal scheduling model and the effectiveness of the proposed multi-time scale economic scheduling method.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fenrg.2023.1132005
- https://www.frontiersin.org/articles/10.3389/fenrg.2023.1132005/pdf
- OA Status
- gold
- Cited By
- 14
- References
- 21
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4319603312
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4319603312Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3389/fenrg.2023.1132005Digital Object Identifier
- Title
-
Multi-time-scale economic scheduling method for electro-hydrogen integrated energy system based on day-ahead long-time-scale and intra-day MPC hierarchical rolling optimizationWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-02-08Full publication date if available
- Authors
-
Leiqi Zhang, Wuzhen Dai, Bo Zhao, Xuesong Zhang, Min Liu, Qiliang Wu, Jian ChenList of authors in order
- Landing page
-
https://doi.org/10.3389/fenrg.2023.1132005Publisher landing page
- PDF URL
-
https://www.frontiersin.org/articles/10.3389/fenrg.2023.1132005/pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
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-
goldOpen access status per OpenAlex
- OA URL
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https://www.frontiersin.org/articles/10.3389/fenrg.2023.1132005/pdfDirect OA link when available
- Concepts
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Scheduling (production processes), Computer science, Schedule, Model predictive control, Mathematical optimization, Control (management), Mathematics, Operating system, Artificial intelligenceTop concepts (fields/topics) attached by OpenAlex
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14Total citation count in OpenAlex
- Citations by year (recent)
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2025: 5, 2024: 7, 2023: 2Per-year citation counts (last 5 years)
- References (count)
-
21Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.impact | 93 |
| abstract_inverted_index.obtain | 36 |
| abstract_inverted_index.stage, | 87, 127 |
| abstract_inverted_index.system | 24, 46 |
| abstract_inverted_index.taking | 152 |
| abstract_inverted_index.account | 154 |
| abstract_inverted_index.achieve | 106, 145 |
| abstract_inverted_index.adopted | 131 |
| abstract_inverted_index.between | 148 |
| abstract_inverted_index.control | 79 |
| abstract_inverted_index.correct | 140 |
| abstract_inverted_index.firstly | 51 |
| abstract_inverted_index.future. | 34 |
| abstract_inverted_index.improve | 117 |
| abstract_inverted_index.method. | 183 |
| abstract_inverted_index.optimal | 38, 67, 170 |
| abstract_inverted_index.overall | 119 |
| abstract_inverted_index.refined | 54 |
| abstract_inverted_index.results | 163 |
| abstract_inverted_index.rolling | 82, 135 |
| abstract_inverted_index.secure, | 4 |
| abstract_inverted_index.system, | 8 |
| abstract_inverted_index.systems | 150 |
| abstract_inverted_index.Finally, | 160 |
| abstract_inverted_index.coupling | 23 |
| abstract_inverted_index.economic | 39, 120, 181 |
| abstract_inverted_index.expected | 26 |
| abstract_inverted_index.forecast | 96 |
| abstract_inverted_index.hydrogen | 10, 60, 114 |
| abstract_inverted_index.proposed | 99, 169, 178 |
| abstract_inverted_index.proposes | 65 |
| abstract_inverted_index.schedule | 143 |
| abstract_inverted_index.transfer | 112, 158 |
| abstract_inverted_index.addition, | 123 |
| abstract_inverted_index.day-ahead | 72, 86, 103, 142 |
| abstract_inverted_index.different | 156 |
| abstract_inverted_index.efficient | 6 |
| abstract_inverted_index.implement | 133 |
| abstract_inverted_index.important | 14, 30 |
| abstract_inverted_index.inter-day | 110 |
| abstract_inverted_index.intra-day | 76, 126 |
| abstract_inverted_index.multi-day | 95 |
| abstract_inverted_index.operation | 147 |
| abstract_inverted_index.developing | 15 |
| abstract_inverted_index.integrated | 44 |
| abstract_inverted_index.multi-time | 179 |
| abstract_inverted_index.performing | 101 |
| abstract_inverted_index.predictive | 78 |
| abstract_inverted_index.scheduling | 40, 68, 171, 182 |
| abstract_inverted_index.simulation | 162 |
| abstract_inverted_index.considering | 91 |
| abstract_inverted_index.coordinated | 146 |
| abstract_inverted_index.demonstrate | 164 |
| abstract_inverted_index.efficiency. | 121 |
| abstract_inverted_index.establishes | 52 |
| abstract_inverted_index.feasibility | 166 |
| abstract_inverted_index.information | 97 |
| abstract_inverted_index.revolution, | 20 |
| abstract_inverted_index.electrolyzer | 58 |
| abstract_inverted_index.hierarchical | 81, 134 |
| abstract_inverted_index.multi-energy | 149 |
| abstract_inverted_index.optimization | 74, 90, 104, 136 |
| abstract_inverted_index.effectiveness | 175 |
| abstract_inverted_index.optimization. | 83 |
| abstract_inverted_index.long-time-scale | 73, 89 |
| abstract_inverted_index.characteristics. | 159 |
| abstract_inverted_index.electro-hydrogen | 22, 43 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 94 |
| corresponding_author_ids | https://openalex.org/A5100326485 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 7 |
| corresponding_institution_ids | https://openalex.org/I154099455 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.4000000059604645 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.79494429 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |