Publicação
A hybrid genetic algorithm for optimal active power curtailment considering renewable energy generation
| Resumo: | This paper analyzes the application of a population-based algorithm and its improvement in solving an optimal power flow problem. Simulations were performed on a 14-bus IEEE network modified to include renewable energy sources-based power plants: a wind park and two photovoltaic solar parks. In this scenario, the high penetration of intermittent energy sources in the grid makes it necessary to curtail active power during peak generation to maintain the balance between load and generation. However, European energy market regulations limit the annual curtailment of RES generators and penalize discriminatory curtailment actions between generators. This work exploits the minimization of transmission active loss while respecting its security constraints. Additionally, constraints were introduced in the optimal power flow problem to mitigate active power curtailment of the renewable source generators and to secure a non-discriminatory characteristic in curtailment decisions. The non-convex nature of the problem, intensified by the introduction of non-linear constraints, suggests the exploitation of heuristic algorithms to locate the optimal global solution. The obtained results demonstrate that a hybrid GA algorithm can improve convergence speed, and it is useful in determining the problem solution in cases where deterministic algorithms are unable to converge. |
|---|---|
| Autores principais: | Pedroso, André Felipe Pereira |
| Outros Autores: | Amoura, Yahia; Pereira, Ana I.; Ferreira, Ângela P. |
| Assunto: | Energy curtailment Optimal power flow Genetic algorithm Interior point Active-set |
| Ano: | 2023 |
| País: | Portugal |
| Tipo de documento: | comunicação em conferência |
| Tipo de acesso: | acesso restrito |
| Instituição associada: | Instituto Politécnico de Bragança |
| Idioma: | inglês |
| Origem: | Biblioteca Digital do IPB |
| _version_ | 1867173369285181440 |
|---|---|
| author | Pedroso, André Felipe Pereira |
| author2 | Amoura, Yahia Pereira, Ana I. Ferreira, Ângela P. |
| author2_role | author author author |
| author_facet | Pedroso, André Felipe Pereira Amoura, Yahia Pereira, Ana I. Ferreira, Ângela P. |
| author_role | author |
| contributor_name_str_mv | Biblioteca Digital do IPB |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Pedroso, André Felipe Pereira\"},{\"Person.name\":\"Amoura, Yahia\",\"Person.identifier.orcid\":\"0000-0002-8811-0823\"},{\"Person.name\":\"Pereira, Ana I.\",\"Person.identifier.orcid\":\"0000-0003-3803-2043\"},{\"Person.name\":\"Ferreira, Ângela P.\",\"Person.identifier.orcid\":\"0000-0002-1912-2556\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Biblioteca Digital do IPB |
| datacite.creators.creator.creatorName.fl_str_mv | Pedroso, André Felipe Pereira Amoura, Yahia Pereira, Ana I. Ferreira, Ângela P. |
| datacite.date.Accepted.fl_str_mv | 2023-01-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2024-01-15T11:23:53Z |
| datacite.date.embargoed.fl_str_mv | 2024-01-15T11:23:53Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_16ec |
| datacite.subjects.subject.fl_str_mv | Energy curtailment Optimal power flow Genetic algorithm Interior point Active-set |
| datacite.titles.title.fl_str_mv | A hybrid genetic algorithm for optimal active power curtailment considering renewable energy generation |
| dc.contributor.none.fl_str_mv | Biblioteca Digital do IPB |
| dc.creator.none.fl_str_mv | Pedroso, André Felipe Pereira Amoura, Yahia Pereira, Ana I. Ferreira, Ângela P. |
| dc.date.Accepted.fl_str_mv | 2023-01-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2024-01-15T11:23:53Z |
| dc.date.embargoed.fl_str_mv | 2024-01-15T11:23:53Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10198/29179 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | Springer |
| dc.rights.cclincense.fl_str_mv | http://creativecommons.org/licenses/by/4.0/ |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_16ec |
| dc.subject.none.fl_str_mv | Energy curtailment Optimal power flow Genetic algorithm Interior point Active-set |
| dc.title.fl_str_mv | A hybrid genetic algorithm for optimal active power curtailment considering renewable energy generation |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_5794 |
| description | This paper analyzes the application of a population-based algorithm and its improvement in solving an optimal power flow problem. Simulations were performed on a 14-bus IEEE network modified to include renewable energy sources-based power plants: a wind park and two photovoltaic solar parks. In this scenario, the high penetration of intermittent energy sources in the grid makes it necessary to curtail active power during peak generation to maintain the balance between load and generation. However, European energy market regulations limit the annual curtailment of RES generators and penalize discriminatory curtailment actions between generators. This work exploits the minimization of transmission active loss while respecting its security constraints. Additionally, constraints were introduced in the optimal power flow problem to mitigate active power curtailment of the renewable source generators and to secure a non-discriminatory characteristic in curtailment decisions. The non-convex nature of the problem, intensified by the introduction of non-linear constraints, suggests the exploitation of heuristic algorithms to locate the optimal global solution. The obtained results demonstrate that a hybrid GA algorithm can improve convergence speed, and it is useful in determining the problem solution in cases where deterministic algorithms are unable to converge. |
| dirty | 0 |
| eu_rights_str_mv | restrictedAccess |
| format | conferencePaper |
| fulltext.url.fl_str_mv | https://bibliotecadigital.ipb.pt/bitstreams/caf5da1e-4abc-459d-a5aa-6857db5aaead/download |
| funding.funder.alternateName_str_mv | FCT FCT |
| funding.funder.identifier_str_mv | http://doi.org/10.13039/501100001871 http://doi.org/10.13039/501100001871 |
| funding.funder.name_str_mv | Fundação para a Ciência e a Tecnologia Fundação para a Ciência e a Tecnologia |
| funding.name_str_mv | 6817 - DCRRNI ID 6817 - DCRRNI ID |
| id | ipb_2287fac2f4fa6580d8d99b6b3be5b447 |
| identifier.url.fl_str_mv | http://hdl.handle.net/10198/29179 |
| instacron_str | ipb |
| institution | Instituto Politécnico de Bragança |
| instname_str | Instituto Politécnico de Bragança |
| language | eng |
| network_acronym_str | ipb |
| network_name_str | Biblioteca Digital do IPB |
| oai_identifier_str | oai:bibliotecadigital.ipb.pt:10198/29179 |
| organization_str_mv | urn:organizationAcronym:ipb |
| person_str_mv | Pedroso, André Felipe Pereira Amoura, Yahia Amoura, Yahia https://www.ciencia-id.pt/1C1C-915D-DB4E 1C1C-915D-DB4E http://orcid.org/0000-0002-8811-0823 0000-0002-8811-0823 Pereira, Ana I. Pereira, Ana I. https://www.ciencia-id.pt/0716-B7C2-93E4 0716-B7C2-93E4 http://orcid.org/0000-0003-3803-2043 0000-0003-3803-2043 Ferreira, Ângela P. Ferreira, Ângela P. https://www.ciencia-id.pt/2211-6787-D936 2211-6787-D936 http://orcid.org/0000-0002-1912-2556 0000-0002-1912-2556 |
| publishDate | 2023 |
| publisher.none.fl_str_mv | Springer |
| reponame_str | Biblioteca Digital do IPB |
| repository_id_str | urn:repositoryAcronym:ipb |
| service_str_mv | urn:repositoryAcronym:ipb |
| spelling | engSpringerpt_PTThis paper analyzes the application of a population-based algorithm and its improvement in solving an optimal power flow problem. Simulations were performed on a 14-bus IEEE network modified to include renewable energy sources-based power plants: a wind park and two photovoltaic solar parks. In this scenario, the high penetration of intermittent energy sources in the grid makes it necessary to curtail active power during peak generation to maintain the balance between load and generation. However, European energy market regulations limit the annual curtailment of RES generators and penalize discriminatory curtailment actions between generators. This work exploits the minimization of transmission active loss while respecting its security constraints. Additionally, constraints were introduced in the optimal power flow problem to mitigate active power curtailment of the renewable source generators and to secure a non-discriminatory characteristic in curtailment decisions. The non-convex nature of the problem, intensified by the introduction of non-linear constraints, suggests the exploitation of heuristic algorithms to locate the optimal global solution. The obtained results demonstrate that a hybrid GA algorithm can improve convergence speed, and it is useful in determining the problem solution in cases where deterministic algorithms are unable to converge.application/pdfpt_PTA hybrid genetic algorithm for optimal active power curtailment considering renewable energy generationPedroso, André Felipe PereiraPersonalAmoura, YahiaDSpacehttp://dspace.org/items/653c4356-dd18-4680-9774-da86a446d0e5DSpacehttp://dspace.org/items/653c4356-dd18-4680-9774-da86a446d0e5AmouraYahiaCiência IDhttps://www.ciencia-id.pt1C1C-915D-DB4EORCIDhttp://orcid.org0000-0002-8811-0823PersonalPereira, Ana I.DSpacehttp://dspace.org/items/e9981d62-2a2b-4fef-b75e-c2a14b0e7846DSpacehttp://dspace.org/items/e9981d62-2a2b-4fef-b75e-c2a14b0e7846PereiraAna I.Ciência IDhttps://www.ciencia-id.pt0716-B7C2-93E4ORCIDhttp://orcid.org0000-0003-3803-2043Researcher IDhttps://www.researcherid.comF-3168-2010Scopus Author IDhttps://www.scopus.com15071961600PersonalFerreira, Ângela P.DSpacehttp://dspace.org/items/3fec941d-79fb-4901-918d-a34ffa0195ccDSpacehttp://dspace.org/items/3fec941d-79fb-4901-918d-a34ffa0195ccFerreiraÂngela P.Ciência IDhttps://www.ciencia-id.pt2211-6787-D936ORCIDhttp://orcid.org0000-0002-1912-2556Researcher IDhttps://www.researcherid.comM-8188-2013Scopus Author IDhttps://www.scopus.com55516840300HostingInstitutionOrganizationalBiblioteca Digital do IPBe-mailmailto:dspace@ipb.ptdspace@ipb.ptISBNIsPartOf978-303137107-3DOIIsPartOf10.1007/978-3-031-37108-0_312024-01-15T11:23:53Z20232023-01-01T00:00:00ZHandlehttp://hdl.handle.net/10198/29179http://purl.org/coar/access_right/c_16ecrestricted accessEnergy curtailmentOptimal power flowGenetic algorithmInterior pointActive-set635302 bytesFundação para a Ciência e a TecnologiaResearch Centre in Digitalization and Intelligent Robotics6817 - DCRRNI IDCrossref Funder IDhttp://doi.org/10.13039/501100001871Fundação para a Ciência e a TecnologiaResearch Centre in Digitalization and Intelligent Robotics6817 - DCRRNI IDCrossref Funder IDhttp://doi.org/10.13039/501100001871other research producthttp://purl.org/coar/resource_type/c_5794conference paper2023http://creativecommons.org/licenses/by/4.0/http://purl.org/coar/access_right/c_16ecapplication/pdffulltexthttps://bibliotecadigital.ipb.pt/bitstreams/caf5da1e-4abc-459d-a5aa-6857db5aaead/download23rd International Conference on Computational Science and Its Applications (ICCSA)14105479494 |
| spellingShingle | A hybrid genetic algorithm for optimal active power curtailment considering renewable energy generation Pedroso, André Felipe Pereira Energy curtailment Optimal power flow Genetic algorithm Interior point Active-set |
| status | SINGLETON |
| subject.fl_str_mv | Energy curtailment Optimal power flow Genetic algorithm Interior point Active-set |
| title | A hybrid genetic algorithm for optimal active power curtailment considering renewable energy generation |
| title_full | A hybrid genetic algorithm for optimal active power curtailment considering renewable energy generation |
| title_fullStr | A hybrid genetic algorithm for optimal active power curtailment considering renewable energy generation |
| title_full_unstemmed | A hybrid genetic algorithm for optimal active power curtailment considering renewable energy generation |
| title_short | A hybrid genetic algorithm for optimal active power curtailment considering renewable energy generation |
| title_sort | A hybrid genetic algorithm for optimal active power curtailment considering renewable energy generation |
| topic | Energy curtailment Optimal power flow Genetic algorithm Interior point Active-set |
| topic_facet | Energy curtailment Optimal power flow Genetic algorithm Interior point Active-set |
| url | http://hdl.handle.net/10198/29179 |
| visible | 1 |