Coordinated Optimal Active-Reactive Scheduling of Active Distribution Networks Considering Demand Response Article Swipe
YOU?
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· 2025
· Open Access
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· DOI: https://doi.org/10.1088/1742-6596/2979/1/012017
The constraints in the active - reactive power coordinated optimal scheduling of the conventional active distribution network are single - faceted, the scheduling efficiency is low, resulting in an increase in the final network loss ratio. Therefore, a method for designing and analyzing the active - reactive power coordinated optimal scheduling in the active distribution network with consideration of demand response is proposed. In light of the existing scheduling requirements, an analysis of the active - reactive power scheduling requirements is initially conducted, and the adaptive approach is adopted to improve the overall scheduling efficiency and construct the adaptive balance scheduling constraints. Based on this, a demand - response - based active - reactive power coordinated optimal scheduling model for the active distribution network is established, and optimization and iteration are used to achieve optimal scheduling processing. The test results indicate that, in comparison with the contract - coordinated distribution network active - reactive power coordinated optimal scheduling method and the multi - level scale congested distribution network method, the test network loss ratios of the demand - response - based distribution network active - reactive power coordinated optimal scheduling method are kept below 2.5. This demonstrates that the active - reactive power coordination optimization scheduling method for the active distribution network is more practical and reliable, with better practical application effect and high scheduling efficiency, and has practical application value.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1088/1742-6596/2979/1/012017
- OA Status
- diamond
- References
- 13
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4411541395
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4411541395Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1088/1742-6596/2979/1/012017Digital Object Identifier
- Title
-
Coordinated Optimal Active-Reactive Scheduling of Active Distribution Networks Considering Demand ResponseWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-06-01Full publication date if available
- Authors
-
Wei Xin, Xiao Yang, Lianrong Pan, Hang Ruan, Daiyu XieList of authors in order
- Landing page
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https://doi.org/10.1088/1742-6596/2979/1/012017Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1088/1742-6596/2979/1/012017Direct OA link when available
- Concepts
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AC power, Scheduling (production processes), Computer science, Fair-share scheduling, Dynamic priority scheduling, Mathematical optimization, Round-robin scheduling, Rate-monotonic scheduling, Two-level scheduling, Distributed computing, Engineering, Computer network, Mathematics, Voltage, Quality of service, Electrical engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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13Number 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.scheduling | 11, 23, 51, 69, 79, 94, 101, 118, 136, 158, 190, 206, 225 |
| abstract_inverted_index.application | 221, 230 |
| abstract_inverted_index.constraints | 2 |
| abstract_inverted_index.coordinated | 9, 49, 116, 149, 156, 188 |
| abstract_inverted_index.efficiency, | 226 |
| abstract_inverted_index.processing. | 137 |
| abstract_inverted_index.constraints. | 102 |
| abstract_inverted_index.conventional | 14 |
| abstract_inverted_index.coordination | 204 |
| abstract_inverted_index.demonstrates | 197 |
| abstract_inverted_index.distribution | 16, 55, 123, 150, 167, 182, 211 |
| abstract_inverted_index.established, | 126 |
| abstract_inverted_index.optimization | 128, 205 |
| abstract_inverted_index.requirements | 80 |
| abstract_inverted_index.consideration | 58 |
| abstract_inverted_index.requirements, | 70 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 5 |
| citation_normalized_percentile.value | 0.24775761 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |