Publication
Agent-based model of citizen energy communities used to negotiate bilateral contracts in electricity markets
| dc.contributor.author | Algarvio, Hugo | |
| dc.date.accessioned | 2022-10-12T14:05:04Z | |
| dc.date.available | 2022-10-12T14:05:04Z | |
| dc.date.issued | 2022-09 | |
| dc.description.abstract | ABSTRACT: The worldwide targets for carbon-neutral societies increased the penetration of distributed generation and storage. Smart cities now play a key role in achieving these targets by considering the alliances of their demand and supply assets as local citizen energy communities. These communities need to have enough weight to trade electricity in wholesale markets. Trading of electricity can be done in spot markets or by bilateral contracts involving customers and suppliers. This paper is devoted to bilateral contracting, which is modeled as a negotiation process involving an iterative exchange of offers and counter-offers. This article focuses on local citizen energy communities. Specifically, it presents team and single-agent negotiation models, where each member has its sets of strategies and tactics and also its decision model. Community agents are equipped with intra-team strategies and decision protocols. To evaluate the benefits of CECs, models of both coalition formation and management have been adapted. This paper also describes a case study on forward bilateral contracts, involving a retailer agent and three different types of citizen energy communities. The results demonstrate the benefits of CECs during the negotiation of private bilateral contracts of electricity. Furthermore, they also demonstrate that in the case of using a representative strategy, the selection of the mediator may be critical for achieving a good deal. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | Algarvio, Hugo - Agent-based model of citizen energy communities used to negotiate bilateral contracts in electricity markets. In: Smart Cities, 2022, Vol. 5 (3), p. 1039-1053 | pt_PT |
| dc.identifier.doi | 10.3390/smartcities5030052 | pt_PT |
| dc.identifier.eissn | 2624-6511 | |
| dc.identifier.uri | http://hdl.handle.net/10400.9/3916 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | MDPI | pt_PT |
| dc.relation | Tools for the Design and modelling of new markets and negotiation mechanisms for a ~100% Renewable European Power Systems | |
| dc.relation.publisherversion | https://doi.org/10.3390/smartcities5030052 | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Multi-agent systems | pt_PT |
| dc.subject | Electricity markets | pt_PT |
| dc.subject | Trading strategies | pt_PT |
| dc.subject | Agent-based modeling | pt_PT |
| dc.subject | Optimization | pt_PT |
| dc.subject | Urban energy | pt_PT |
| dc.subject | Smart cities | pt_PT |
| dc.title | Agent-based model of citizen energy communities used to negotiate bilateral contracts in electricity markets | pt_PT |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | Tools for the Design and modelling of new markets and negotiation mechanisms for a ~100% Renewable European Power Systems | |
| oaire.awardURI | info:eu-repo/grantAgreement/EC/H2020/864276/EU | |
| oaire.citation.endPage | 1053 | pt_PT |
| oaire.citation.startPage | 1039 | pt_PT |
| oaire.citation.title | Smart Cities | pt_PT |
| oaire.citation.volume | 5 | pt_PT |
| oaire.fundingStream | H2020 | |
| person.identifier.ciencia-id | B01D-304F-6CD3 | |
| person.identifier.orcid | 0000-0002-4129-838X | |
| project.funder.identifier | http://doi.org/10.13039/501100008530 | |
| project.funder.name | European Commission | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | article | pt_PT |
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