A Peer-to-Peer Energy Trading Hierarchy for Microgrids in Distribution Networks Article Swipe
YOU?
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· 2020
· Open Access
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· DOI: https://doi.org/10.46855/energy-proceedings-1837
Microgrids and peer-to-peer (P2P) energy trading are important technical and market arrangements to deal with the challenges brought by the increasing penetration of distributed energy resources (DERs).In this paper, a P2P energy trading hierarchy was proposed for microgrids in distribution networks.Hierarchical P2P markets were established for facilitating the energy trading between prosumers and consumers.A two-stage matching method, including bilateral and pool-based matching, was proposed to match the generation and demand in the hierarchical P2P markets.An extended Mid-Market Rate (MMR) pricing method was further proposed for clearing the hierarchical P2P markets.The proposed hierarchy and matching and pricing methods were tested on a distribution network adapted from a practical network in Neath Port Talbot, Wales, UK.Simulation results demonstrate the operation of the proposed hierarchy, and indicate that the proposed hierarchy, with the proposed matching and pricing method, has the potential to bring greater social welfare compared to the conventional market paradigm.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.46855/energy-proceedings-1837
- http://www.energy-proceedings.org/wp-content/uploads/2020/02/949_Paper_0905045854.pdf
- OA Status
- gold
- Cited By
- 3
- References
- 16
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4285705801
Raw OpenAlex JSON
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https://openalex.org/W4285705801Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.46855/energy-proceedings-1837Digital Object Identifier
- Title
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A Peer-to-Peer Energy Trading Hierarchy for Microgrids in Distribution NetworksWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-02-25Full publication date if available
- Authors
-
Lefeng Shi, Yue Zhou, Chao Long, Sathsara Abeysinghe, Liana Cipcigan, Jian WuList of authors in order
- Landing page
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https://doi.org/10.46855/energy-proceedings-1837Publisher landing page
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https://www.energy-proceedings.org/wp-content/uploads/2020/02/949_Paper_0905045854.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
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https://www.energy-proceedings.org/wp-content/uploads/2020/02/949_Paper_0905045854.pdfDirect OA link when available
- Concepts
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Hierarchy, Peer-to-peer, Distribution (mathematics), Energy (signal processing), Computer science, Business, Distributed computing, Economics, Mathematics, Market economy, Statistics, Mathematical analysisTop concepts (fields/topics) attached by OpenAlex
- Cited by
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3Total citation count in OpenAlex
- Citations by year (recent)
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2024: 1, 2022: 2Per-year citation counts (last 5 years)
- References (count)
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16Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.bilateral | 58 |
| abstract_inverted_index.hierarchy | 33, 91 |
| abstract_inverted_index.important | 7 |
| abstract_inverted_index.including | 57 |
| abstract_inverted_index.matching, | 61 |
| abstract_inverted_index.operation | 117 |
| abstract_inverted_index.paradigm. | 148 |
| abstract_inverted_index.potential | 137 |
| abstract_inverted_index.practical | 106 |
| abstract_inverted_index.prosumers | 51 |
| abstract_inverted_index.resources | 25 |
| abstract_inverted_index.technical | 8 |
| abstract_inverted_index.two-stage | 54 |
| abstract_inverted_index.Microgrids | 0 |
| abstract_inverted_index.Mid-Market | 76 |
| abstract_inverted_index.challenges | 16 |
| abstract_inverted_index.generation | 67 |
| abstract_inverted_index.hierarchy, | 121, 127 |
| abstract_inverted_index.increasing | 20 |
| abstract_inverted_index.markets.An | 74 |
| abstract_inverted_index.microgrids | 37 |
| abstract_inverted_index.pool-based | 60 |
| abstract_inverted_index.consumers.A | 53 |
| abstract_inverted_index.demonstrate | 115 |
| abstract_inverted_index.distributed | 23 |
| abstract_inverted_index.established | 44 |
| abstract_inverted_index.markets.The | 89 |
| abstract_inverted_index.penetration | 21 |
| abstract_inverted_index.arrangements | 11 |
| abstract_inverted_index.conventional | 146 |
| abstract_inverted_index.distribution | 39, 101 |
| abstract_inverted_index.facilitating | 46 |
| abstract_inverted_index.hierarchical | 72, 87 |
| abstract_inverted_index.peer-to-peer | 2 |
| abstract_inverted_index.UK.Simulation | 113 |
| abstract_inverted_index.networks.Hierarchical | 40 |
| cited_by_percentile_year.max | 96 |
| cited_by_percentile_year.min | 90 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 6 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.7900000214576721 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.5534749 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |