Optimal Scheduling of Zero-Carbon Parks Considering Flexible Response of Source–Load Bilaterals in Multiple Timescales Article Swipe
In order to enhance the carbon reduction potential of a park, a low-carbon economic dispatch method applicable to zero-carbon parks is proposed to optimize the energy dispatch of the park at multiple timescales; this is achieved by introducing a flexible response mechanism for source–load bilaterals, so as to achieve low-carbon, economic, and efficient operation. First, a park model that accounts for the energy flow characteristics and carbon potential distribution of the energy hub is established. Then, based on the flexible operation of energy supply equipment and multi-type integrated demand response, the flexible response mechanism of source–load bilaterally and the multi-timescale scheduling framework are proposed; the mechanisms of source–load coordination and electricity–carbon coupling are analyzed in depth. Finally, with the objective of optimal system operation economy, the optimal scheduling model is established for three timescales, namely, day-ahead, intraday, and real-time scheduling. The equipment output and demand response are optimized step by step according to the source–load prediction information and scheduling results at each stage. The simulation results show that the proposed model can effectively utilize the source and load resources to participate in scheduling and can effectively reduce carbon emissions while ensuring the energy supply demand of the park, realizing the low-carbon, economic operation of the system. Therefore, this study provides a new theoretical basis and practical solution for the optimal dispatch of energy in zero-carbon parks, which helps to promote the development of a low-carbon economy.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/pr12122850
- https://www.mdpi.com/2227-9717/12/12/2850/pdf?version=1733999508
- OA Status
- gold
- References
- 38
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4405324094
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4405324094Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/pr12122850Digital Object Identifier
- Title
-
Optimal Scheduling of Zero-Carbon Parks Considering Flexible Response of Source–Load Bilaterals in Multiple TimescalesWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-12-12Full publication date if available
- Authors
-
Fuyu Wang, Weiqing WangList of authors in order
- Landing page
-
https://doi.org/10.3390/pr12122850Publisher landing page
- PDF URL
-
https://www.mdpi.com/2227-9717/12/12/2850/pdf?version=1733999508Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2227-9717/12/12/2850/pdf?version=1733999508Direct OA link when available
- Concepts
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Scheduling (production processes), Zero (linguistics), Demand response, Carbon fibers, Computer science, Mathematical optimization, Distributed computing, Mathematics, Engineering, Algorithm, Electrical engineering, Philosophy, Linguistics, Composite number, ElectricityTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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38Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.enhance | 3 |
| abstract_inverted_index.namely, | 134 |
| abstract_inverted_index.optimal | 121, 126, 219 |
| abstract_inverted_index.promote | 229 |
| abstract_inverted_index.results | 159, 165 |
| abstract_inverted_index.system. | 205 |
| abstract_inverted_index.utilize | 173 |
| abstract_inverted_index.Finally, | 116 |
| abstract_inverted_index.accounts | 59 |
| abstract_inverted_index.achieved | 35 |
| abstract_inverted_index.analyzed | 113 |
| abstract_inverted_index.coupling | 111 |
| abstract_inverted_index.dispatch | 14, 26, 220 |
| abstract_inverted_index.economic | 13, 201 |
| abstract_inverted_index.economy, | 124 |
| abstract_inverted_index.economy. | 235 |
| abstract_inverted_index.ensuring | 190 |
| abstract_inverted_index.flexible | 39, 79, 91 |
| abstract_inverted_index.multiple | 31 |
| abstract_inverted_index.optimize | 23 |
| abstract_inverted_index.proposed | 21, 169 |
| abstract_inverted_index.provides | 209 |
| abstract_inverted_index.response | 40, 92, 145 |
| abstract_inverted_index.solution | 216 |
| abstract_inverted_index.according | 151 |
| abstract_inverted_index.economic, | 50 |
| abstract_inverted_index.efficient | 52 |
| abstract_inverted_index.emissions | 188 |
| abstract_inverted_index.equipment | 84, 141 |
| abstract_inverted_index.framework | 101 |
| abstract_inverted_index.intraday, | 136 |
| abstract_inverted_index.mechanism | 41, 93 |
| abstract_inverted_index.objective | 119 |
| abstract_inverted_index.operation | 80, 123, 202 |
| abstract_inverted_index.optimized | 147 |
| abstract_inverted_index.potential | 7, 67 |
| abstract_inverted_index.practical | 215 |
| abstract_inverted_index.proposed; | 103 |
| abstract_inverted_index.real-time | 138 |
| abstract_inverted_index.realizing | 198 |
| abstract_inverted_index.reduction | 6 |
| abstract_inverted_index.resources | 178 |
| abstract_inverted_index.response, | 89 |
| abstract_inverted_index.Therefore, | 206 |
| abstract_inverted_index.applicable | 16 |
| abstract_inverted_index.day-ahead, | 135 |
| abstract_inverted_index.integrated | 87 |
| abstract_inverted_index.low-carbon | 12, 234 |
| abstract_inverted_index.mechanisms | 105 |
| abstract_inverted_index.multi-type | 86 |
| abstract_inverted_index.operation. | 53 |
| abstract_inverted_index.prediction | 155 |
| abstract_inverted_index.scheduling | 100, 127, 158, 182 |
| abstract_inverted_index.simulation | 164 |
| abstract_inverted_index.bilaterally | 96 |
| abstract_inverted_index.bilaterals, | 44 |
| abstract_inverted_index.development | 231 |
| abstract_inverted_index.effectively | 172, 185 |
| abstract_inverted_index.established | 130 |
| abstract_inverted_index.information | 156 |
| abstract_inverted_index.introducing | 37 |
| abstract_inverted_index.low-carbon, | 49, 200 |
| abstract_inverted_index.participate | 180 |
| abstract_inverted_index.scheduling. | 139 |
| abstract_inverted_index.theoretical | 212 |
| abstract_inverted_index.timescales, | 133 |
| abstract_inverted_index.timescales; | 32 |
| abstract_inverted_index.zero-carbon | 18, 224 |
| abstract_inverted_index.coordination | 108 |
| abstract_inverted_index.distribution | 68 |
| abstract_inverted_index.established. | 74 |
| abstract_inverted_index.source–load | 43, 95, 107, 154 |
| abstract_inverted_index.characteristics | 64 |
| abstract_inverted_index.multi-timescale | 99 |
| abstract_inverted_index.electricity–carbon | 110 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 2 |
| citation_normalized_percentile.value | 0.32932329 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |