Network-constrained bidding optimization strategy for aggregators of prosumers
| dc.contributor.author | Iria, José | |
| dc.contributor.author | Scott, Paul | |
| dc.contributor.author | attarha, ahmad | |
| dc.date.accessioned | 2024-01-08T23:15:08Z | |
| dc.date.issued | 2020 | |
| dc.date.updated | 2022-09-25T08:16:36Z | |
| dc.description.abstract | The large-scale deployment of smart home technologies will unlock the flexibility of prosumers, which in turn will be transformed into electricity market services by aggregators. This paper proposes a new network-constrained bidding optimization strategy to coordinate the participation of aggregators of prosumers in the day-ahead energy and secondary reserve markets. This bidding optimization strategy consists of a decentralized approach based on the alternating direction method of multipliers, where aggregators negotiate with the distribution system operator to obtain network-constrained energy and secondary reserve bids. For a case study of 2 aggregators and 1 distribution system operator, the results show that the network-constrained bidding strategy computes cost-effective and network-feasible energy and secondary reserve bids, as opposed to a network-free bidding strategy. In addition, the network-constrained bidding strategy preserves the independent roles of aggregators and the distribution system operator, and the data privacy of all agents. | en_AU |
| dc.format.mimetype | application/pdf | en_AU |
| dc.identifier.issn | 0360-5442 | en_AU |
| dc.identifier.uri | http://hdl.handle.net/1885/311254 | |
| dc.language.iso | en_AU | en_AU |
| dc.publisher | Pergamon Press Ltd. | en_AU |
| dc.rights | © 2020 The authors | en_AU |
| dc.source | Energy | en_AU |
| dc.subject | Aggregators | en_AU |
| dc.subject | Prosumers | en_AU |
| dc.subject | Bidding | en_AU |
| dc.subject | Electricity markets | en_AU |
| dc.subject | Distribution networks | en_AU |
| dc.title | Network-constrained bidding optimization strategy for aggregators of prosumers | en_AU |
| dc.type | Journal article | en_AU |
| local.bibliographicCitation.lastpage | 15 | en_AU |
| local.bibliographicCitation.startpage | 1 | en_AU |
| local.contributor.affiliation | Barreira Iria, Jose Pedro, College of Engineering and Computer Science, ANU | en_AU |
| local.contributor.affiliation | Scott, Paul, College of Engineering and Computer Science, ANU | en_AU |
| local.contributor.affiliation | Attarha, Ahmad, College of Engineering and Computer Science, ANU | en_AU |
| local.contributor.authoruid | Barreira Iria, Jose Pedro, u1091356 | en_AU |
| local.contributor.authoruid | Scott, Paul, u4216533 | en_AU |
| local.contributor.authoruid | Attarha, Ahmad, u6540773 | en_AU |
| local.description.embargo | 2099-12-31 | |
| local.description.notes | Imported from ARIES | en_AU |
| local.identifier.absfor | 490108 - Operations research | en_AU |
| local.identifier.absfor | 400805 - Electrical energy transmission, networks and systems | en_AU |
| local.identifier.absfor | 460209 - Planning and decision making | en_AU |
| local.identifier.ariespublication | a383154xPUB14329 | en_AU |
| local.identifier.citationvolume | 207 | en_AU |
| local.identifier.doi | 10.1016/j.energy.2020.118266 | en_AU |
| local.identifier.scopusID | 2-s2.0-85087518983 | |
| local.identifier.thomsonID | WOS:000558533200071 | |
| local.publisher.url | https://www.sciencedirect.com/ | en_AU |
| local.type.status | Published Version | en_AU |
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