A Robust Multiobjective Strategy for Short-Term Distribution System Upgrading to Increase the Distributed Generation Hosting Capacity
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1109/TPWRS.2022.3155934 http://hdl.handle.net/11449/231629 |
Resumo: | This work proposes a strategy that estimates the maximum distributed generation (DG) capacity that can be connected to the electric distribution system (EDS), when EDS upgrading actions are implemented. The problem is viewed from the distribution system operator (DSO) perspective and is formulated as a multiobjective optimization model that maximizes the DG capacity and minimizes the upgrading cost. Upgrading options include allocation of voltage regulators (VRs) and conductor replacement, which are coordinated with the application of generation curtailment, DG reactive power support, and voltage control using VRs. The uncertainty and variability of demand and DG power production are accounted for resorting to a multi-period robust formulation. The problem solution generates a set of upgrading plans, from which the DSO can select the one that meets its economic expectation and provides the EDS with the necessary capacity to accommodate the expected new DG. A post-optimization analysis is proposed to evaluate the impact of EDS upgrading on the DSO profit. Simulations are performed on a 135-bus EDS, and results show that the proposed strategy reveals an upgrading plan that increases the DG capacity up to 64.39% with a gain in the DSO profit of 5.43%, compared to the case without EDS upgrading. |
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A Robust Multiobjective Strategy for Short-Term Distribution System Upgrading to Increase the Distributed Generation Hosting CapacityConductorsCostsDistributed generationEDS upgradinghosting capacitymultiobjective analysisPlanningProductionReactive powerResource managementrobust optimizationUncertaintyThis work proposes a strategy that estimates the maximum distributed generation (DG) capacity that can be connected to the electric distribution system (EDS), when EDS upgrading actions are implemented. The problem is viewed from the distribution system operator (DSO) perspective and is formulated as a multiobjective optimization model that maximizes the DG capacity and minimizes the upgrading cost. Upgrading options include allocation of voltage regulators (VRs) and conductor replacement, which are coordinated with the application of generation curtailment, DG reactive power support, and voltage control using VRs. The uncertainty and variability of demand and DG power production are accounted for resorting to a multi-period robust formulation. The problem solution generates a set of upgrading plans, from which the DSO can select the one that meets its economic expectation and provides the EDS with the necessary capacity to accommodate the expected new DG. A post-optimization analysis is proposed to evaluate the impact of EDS upgrading on the DSO profit. Simulations are performed on a 135-bus EDS, and results show that the proposed strategy reveals an upgrading plan that increases the DG capacity up to 64.39% with a gain in the DSO profit of 5.43%, compared to the case without EDS upgrading.Departamento de Engenharia Eltrica, UNESP, 28108 Ilha Solteira, Sao Paulo, SP, BrazilEngenharia Eletrica, Unesp, Ilha Solteira, SP, Brazil, 15385000Electrial Engineering, So Paulo State University, Ilha Solteira, Brazil, 15385-000Dipartimento Energia Galileo Ferraris, Politecnico di Torino, Torino, Italy, I-10129Universidade Estadual Paulista (UNESP)Melgar DOMINGUEZ, Ozy DANIELQuijano, Darwin AlexisMantovani, Jose Roberto SanchesChicco, Gianfranco2022-04-29T08:46:39Z2022-04-29T08:46:39Z2022-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1109/TPWRS.2022.3155934IEEE Transactions on Power Systems.1558-06790885-8950http://hdl.handle.net/11449/23162910.1109/TPWRS.2022.31559342-s2.0-85125694235Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengIEEE Transactions on Power Systemsinfo:eu-repo/semantics/openAccess2024-07-04T19:05:42Zoai:repositorio.unesp.br:11449/231629Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T13:48:20.987174Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
A Robust Multiobjective Strategy for Short-Term Distribution System Upgrading to Increase the Distributed Generation Hosting Capacity |
title |
A Robust Multiobjective Strategy for Short-Term Distribution System Upgrading to Increase the Distributed Generation Hosting Capacity |
spellingShingle |
A Robust Multiobjective Strategy for Short-Term Distribution System Upgrading to Increase the Distributed Generation Hosting Capacity Melgar DOMINGUEZ, Ozy DANIEL Conductors Costs Distributed generation EDS upgrading hosting capacity multiobjective analysis Planning Production Reactive power Resource management robust optimization Uncertainty |
title_short |
A Robust Multiobjective Strategy for Short-Term Distribution System Upgrading to Increase the Distributed Generation Hosting Capacity |
title_full |
A Robust Multiobjective Strategy for Short-Term Distribution System Upgrading to Increase the Distributed Generation Hosting Capacity |
title_fullStr |
A Robust Multiobjective Strategy for Short-Term Distribution System Upgrading to Increase the Distributed Generation Hosting Capacity |
title_full_unstemmed |
A Robust Multiobjective Strategy for Short-Term Distribution System Upgrading to Increase the Distributed Generation Hosting Capacity |
title_sort |
A Robust Multiobjective Strategy for Short-Term Distribution System Upgrading to Increase the Distributed Generation Hosting Capacity |
author |
Melgar DOMINGUEZ, Ozy DANIEL |
author_facet |
Melgar DOMINGUEZ, Ozy DANIEL Quijano, Darwin Alexis Mantovani, Jose Roberto Sanches Chicco, Gianfranco |
author_role |
author |
author2 |
Quijano, Darwin Alexis Mantovani, Jose Roberto Sanches Chicco, Gianfranco |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Melgar DOMINGUEZ, Ozy DANIEL Quijano, Darwin Alexis Mantovani, Jose Roberto Sanches Chicco, Gianfranco |
dc.subject.por.fl_str_mv |
Conductors Costs Distributed generation EDS upgrading hosting capacity multiobjective analysis Planning Production Reactive power Resource management robust optimization Uncertainty |
topic |
Conductors Costs Distributed generation EDS upgrading hosting capacity multiobjective analysis Planning Production Reactive power Resource management robust optimization Uncertainty |
description |
This work proposes a strategy that estimates the maximum distributed generation (DG) capacity that can be connected to the electric distribution system (EDS), when EDS upgrading actions are implemented. The problem is viewed from the distribution system operator (DSO) perspective and is formulated as a multiobjective optimization model that maximizes the DG capacity and minimizes the upgrading cost. Upgrading options include allocation of voltage regulators (VRs) and conductor replacement, which are coordinated with the application of generation curtailment, DG reactive power support, and voltage control using VRs. The uncertainty and variability of demand and DG power production are accounted for resorting to a multi-period robust formulation. The problem solution generates a set of upgrading plans, from which the DSO can select the one that meets its economic expectation and provides the EDS with the necessary capacity to accommodate the expected new DG. A post-optimization analysis is proposed to evaluate the impact of EDS upgrading on the DSO profit. Simulations are performed on a 135-bus EDS, and results show that the proposed strategy reveals an upgrading plan that increases the DG capacity up to 64.39% with a gain in the DSO profit of 5.43%, compared to the case without EDS upgrading. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-04-29T08:46:39Z 2022-04-29T08:46:39Z 2022-01-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1109/TPWRS.2022.3155934 IEEE Transactions on Power Systems. 1558-0679 0885-8950 http://hdl.handle.net/11449/231629 10.1109/TPWRS.2022.3155934 2-s2.0-85125694235 |
url |
http://dx.doi.org/10.1109/TPWRS.2022.3155934 http://hdl.handle.net/11449/231629 |
identifier_str_mv |
IEEE Transactions on Power Systems. 1558-0679 0885-8950 10.1109/TPWRS.2022.3155934 2-s2.0-85125694235 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
IEEE Transactions on Power Systems |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128278216572928 |