Optimal power dispatch of renewable and non-renewable generation through a second-order conic model

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dc.contributor.authorYamaguti, Lucas do Carmo
dc.contributor.authorHome-Ortiz, Juan M.
dc.contributor.authorPourakbari-Kasmaei, Mahdi
dc.contributor.authorSantos, Sérgio F.
dc.contributor.authorMantovani, José Roberto Sanches
dc.contributor.authorCatalão, João P. S.
dc.contributor.authorSantos, Sérgio F.
dc.date.accessioned2022-09-06T10:30:26Z
dc.date.available2022-09-06T10:30:26Z
dc.date.issued2021-11-03
dc.description.abstractThis work presents an extension of a second-order conic programming model (SOCP) to handle the multi-objective optimal power dispatch problem considering the probabilistic nature of some parameters related to power demand and the renewable energy sources (RES) generation, such as wind speed and solar irradiation level. Three objective functions are considered in this study: 1) costs of RES and non-RES generation; 2) active power losses in the transmission system; and, 3) emission pollutant gases produced by fossil fuel-based generating units. The stochastic nature of power demands and RES are developed through a set of representative operational scenarios extracted from historical data and via a scenario reduction technique. The results obtained in the SOCP model are compared with a nonlinear programming (NLP) model to check the robustness and precision of SOCP model. To this, both models are implemented and processed to simulate the optimal flow for the IEEE 57- and 118-bus systems.pt_PT
dc.identifier.citationYamaguti, L. C., Home-Ortiz, J. M., Pourakbari-Kasmaei,, M., Santos, S. F., Mantovani, J. R. S., & Catalão, J. P. S. (2021). Optimal power dispatch of renewable and non-renewable generation through a second-order conic model. In 2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), Bari, Italy, 7th-10th September 2021 (pp. 1-6). 10.1109/EEEIC/ICPSEurope51590.2021.9584817. Repositório Institucional UPT. http://hdl.handle.net/11328/4431pt_PT
dc.identifier.doi10.1109/EEEIC/ICPSEurope51590.2021.9584817pt_PT
dc.identifier.isbn978-1-6654-3613-7 (Electronic)
dc.identifier.urihttp://hdl.handle.net/11328/4431
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherIEEEpt_PT
dc.relationSupport by FEDER funds through COMPETE 2020 and by Portuguese funds through FCT, under POCI- 01-0145-FEDER-029803 (02/SAICT/2017).pt_PT
dc.rightsopen accesspt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectEmission pollutant gasespt_PT
dc.subjectMulti-objective optimizationpt_PT
dc.subjectOptimal power dispatchpt_PT
dc.subjectRenewable energypt_PT
dc.subjectSecond-order conic programmingpt_PT
dc.titleOptimal power dispatch of renewable and non-renewable generation through a second-order conic modelpt_PT
dc.typeconferenceObjectpt_PT
degois.publication.firstPage1pt_PT
degois.publication.lastPage6pt_PT
degois.publication.locationBari, Italypt_PT
degois.publication.title2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)pt_PT
dspace.entity.typePublicationen
person.affiliation.nameREMIT – Research on Economics, Management and Information Technologies
person.familyNameSantos
person.givenNameSérgio F.
person.identifier.ciencia-idE41A-D6C6-E3D7
person.identifier.orcid0000-0003-3277-2833
person.identifier.ridGNM-6353-2022
person.identifier.scopus-author-id56483358000
relation.isAuthorOfPublicationd0a5755c-d682-4ead-bf2a-ce1ad6c63ede
relation.isAuthorOfPublication.latestForDiscoveryd0a5755c-d682-4ead-bf2a-ce1ad6c63ede

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