A Multi-Type Dynamic Response Control Strategy for Energy Consumption Article Swipe
Lantao Jing
,
Enyu Wei
,
Liang Wang
,
Jinkuo Li
,
Qiang Zhang
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/en17133092
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/en17133092
In the context of the “Dual-Carbon Strategy”, the seamless integration and optimal utilization of renewable energy sources present a pressing challenge for the emerging power system. The advent of demand-side response technology offers a promising solution to this challenge. This study proposes a two-stage response control strategy for multiple DR clusters based on the specific response time characteristics of industrial and residential loads. The strategy enhances the utilization rate of wind power, harnesses the joint response capability of various types of loads on the demand side, and ensures the overall revenue of the load aggregator (LA). It underscores the importance of industrial loads in large-scale energy consumption control throughout the overall consumption response process, while residential load clusters exhibit quick response flexibility. A homogeneous energy consumption sorting unit response strategy is established from the perspective of a residential load variable-frequency air conditioning cluster unit. This strategy addresses the challenge faced by industrial electrolytic aluminum plants in coping with long-term response intervals amidst significant fluctuations in wind power consumption demand, which may lead to incomplete consumption. This study constructs a response model based on industrial and residential time-sharing tariffs, as well as the aggregator consumption penalty price, with the optimal load energy economy index serving as the evaluation criterion. A series of simulations are conducted to comprehensively evaluate the energy consumption of the two load clusters at all times and the total revenue of the aggregator in the response zone. The objective is to achieve a win–win situation for the total wind power energy consumption rate and the aggregator’s economy. The results of the simulations demonstrate that the response control strategy proposed in this study enhances the overall energy consumption rate by nearly 4 percentage points compared to a single industrial cluster. The total benefit of the load aggregator can reach CNY 941,732.09. The consumption response scheduling strategy put forward in this paper bolsters wind power consumption, triggers demand response, and significantly propels the comprehensive construction and development of the dual-high power grid.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/en17133092
- https://www.mdpi.com/1996-1073/17/13/3092/pdf?version=1719122530
- OA Status
- gold
- References
- 20
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4399984633
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4399984633Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/en17133092Digital Object Identifier
- Title
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A Multi-Type Dynamic Response Control Strategy for Energy ConsumptionWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-06-23Full publication date if available
- Authors
-
Lantao Jing, Enyu Wei, Liang Wang, Jinkuo Li, Qiang ZhangList of authors in order
- Landing page
-
https://doi.org/10.3390/en17133092Publisher landing page
- PDF URL
-
https://www.mdpi.com/1996-1073/17/13/3092/pdf?version=1719122530Direct link to full text PDF
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-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/1996-1073/17/13/3092/pdf?version=1719122530Direct OA link when available
- Concepts
-
Energy consumption, Consumption (sociology), Control (management), Computer science, Engineering, Artificial intelligence, Electrical engineering, Sociology, Social scienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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20Number 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.power | 24, 166, 251, 314, 330 |
| abstract_inverted_index.quick | 119 |
| abstract_inverted_index.reach | 299 |
| abstract_inverted_index.side, | 85 |
| abstract_inverted_index.study | 40, 176, 273 |
| abstract_inverted_index.times | 227 |
| abstract_inverted_index.total | 230, 249, 292 |
| abstract_inverted_index.types | 79 |
| abstract_inverted_index.unit. | 143 |
| abstract_inverted_index.which | 169 |
| abstract_inverted_index.while | 114 |
| abstract_inverted_index.zone. | 238 |
| abstract_inverted_index.advent | 27 |
| abstract_inverted_index.amidst | 161 |
| abstract_inverted_index.coping | 156 |
| abstract_inverted_index.demand | 84, 317 |
| abstract_inverted_index.energy | 15, 105, 124, 200, 218, 252, 277 |
| abstract_inverted_index.loads. | 62 |
| abstract_inverted_index.nearly | 281 |
| abstract_inverted_index.offers | 32 |
| abstract_inverted_index.plants | 154 |
| abstract_inverted_index.points | 284 |
| abstract_inverted_index.power, | 71 |
| abstract_inverted_index.price, | 195 |
| abstract_inverted_index.series | 209 |
| abstract_inverted_index.single | 288 |
| abstract_inverted_index.achieve | 243 |
| abstract_inverted_index.benefit | 293 |
| abstract_inverted_index.cluster | 142 |
| abstract_inverted_index.context | 2 |
| abstract_inverted_index.control | 45, 107, 268 |
| abstract_inverted_index.demand, | 168 |
| abstract_inverted_index.economy | 201 |
| abstract_inverted_index.ensures | 87 |
| abstract_inverted_index.exhibit | 118 |
| abstract_inverted_index.forward | 308 |
| abstract_inverted_index.optimal | 11, 198 |
| abstract_inverted_index.overall | 89, 110, 276 |
| abstract_inverted_index.penalty | 194 |
| abstract_inverted_index.present | 17 |
| abstract_inverted_index.propels | 321 |
| abstract_inverted_index.results | 260 |
| abstract_inverted_index.revenue | 90, 231 |
| abstract_inverted_index.serving | 203 |
| abstract_inverted_index.sorting | 126 |
| abstract_inverted_index.sources | 16 |
| abstract_inverted_index.system. | 25 |
| abstract_inverted_index.various | 78 |
| abstract_inverted_index.aluminum | 153 |
| abstract_inverted_index.bolsters | 312 |
| abstract_inverted_index.cluster. | 290 |
| abstract_inverted_index.clusters | 50, 117, 224 |
| abstract_inverted_index.compared | 285 |
| abstract_inverted_index.economy. | 258 |
| abstract_inverted_index.emerging | 23 |
| abstract_inverted_index.enhances | 65, 274 |
| abstract_inverted_index.evaluate | 216 |
| abstract_inverted_index.multiple | 48 |
| abstract_inverted_index.pressing | 19 |
| abstract_inverted_index.process, | 113 |
| abstract_inverted_index.proposed | 270 |
| abstract_inverted_index.proposes | 41 |
| abstract_inverted_index.response | 30, 44, 55, 75, 112, 120, 128, 159, 179, 237, 267, 304 |
| abstract_inverted_index.seamless | 8 |
| abstract_inverted_index.solution | 35 |
| abstract_inverted_index.specific | 54 |
| abstract_inverted_index.strategy | 46, 64, 129, 145, 269, 306 |
| abstract_inverted_index.tariffs, | 187 |
| abstract_inverted_index.triggers | 316 |
| abstract_inverted_index.addresses | 146 |
| abstract_inverted_index.challenge | 20, 148 |
| abstract_inverted_index.conducted | 213 |
| abstract_inverted_index.dual-high | 329 |
| abstract_inverted_index.harnesses | 72 |
| abstract_inverted_index.intervals | 160 |
| abstract_inverted_index.long-term | 158 |
| abstract_inverted_index.objective | 240 |
| abstract_inverted_index.promising | 34 |
| abstract_inverted_index.renewable | 14 |
| abstract_inverted_index.response, | 318 |
| abstract_inverted_index.situation | 246 |
| abstract_inverted_index.two-stage | 43 |
| abstract_inverted_index.win–win | 245 |
| abstract_inverted_index.aggregator | 94, 192, 234, 297 |
| abstract_inverted_index.capability | 76 |
| abstract_inverted_index.challenge. | 38 |
| abstract_inverted_index.constructs | 177 |
| abstract_inverted_index.criterion. | 207 |
| abstract_inverted_index.evaluation | 206 |
| abstract_inverted_index.importance | 99 |
| abstract_inverted_index.incomplete | 173 |
| abstract_inverted_index.industrial | 59, 101, 151, 183, 289 |
| abstract_inverted_index.percentage | 283 |
| abstract_inverted_index.scheduling | 305 |
| abstract_inverted_index.technology | 31 |
| abstract_inverted_index.throughout | 108 |
| abstract_inverted_index.941,732.09. | 301 |
| abstract_inverted_index.consumption | 106, 111, 125, 167, 193, 219, 253, 278, 303 |
| abstract_inverted_index.demand-side | 29 |
| abstract_inverted_index.demonstrate | 264 |
| abstract_inverted_index.development | 326 |
| abstract_inverted_index.established | 131 |
| abstract_inverted_index.homogeneous | 123 |
| abstract_inverted_index.integration | 9 |
| abstract_inverted_index.large-scale | 104 |
| abstract_inverted_index.perspective | 134 |
| abstract_inverted_index.residential | 61, 115, 137, 185 |
| abstract_inverted_index.significant | 162 |
| abstract_inverted_index.simulations | 211, 263 |
| abstract_inverted_index.underscores | 97 |
| abstract_inverted_index.utilization | 12, 67 |
| abstract_inverted_index.Strategy”, | 6 |
| abstract_inverted_index.conditioning | 141 |
| abstract_inverted_index.construction | 324 |
| abstract_inverted_index.consumption, | 315 |
| abstract_inverted_index.consumption. | 174 |
| abstract_inverted_index.electrolytic | 152 |
| abstract_inverted_index.flexibility. | 121 |
| abstract_inverted_index.fluctuations | 163 |
| abstract_inverted_index.time-sharing | 186 |
| abstract_inverted_index.comprehensive | 323 |
| abstract_inverted_index.significantly | 320 |
| abstract_inverted_index.aggregator’s | 257 |
| abstract_inverted_index.“Dual-Carbon | 5 |
| abstract_inverted_index.characteristics | 57 |
| abstract_inverted_index.comprehensively | 215 |
| abstract_inverted_index.variable-frequency | 139 |
| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5100754013 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 5 |
| corresponding_institution_ids | https://openalex.org/I108904480 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.8999999761581421 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.08938952 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |