Volt-Var Optimization with Power Management of Plug-in Electric Vehicles for Conservation Voltage Reduction in Distribution Systems

Detalhes bibliográficos
Autor(a) principal: Quijano, Darwin A. [UNESP]
Data de Publicação: 2022
Outros Autores: Padilha-Feltrin, Antonio [UNESP], Catalao, Joao P. S.
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/EEEIC/ICPSEurope54979.2022.9854611
http://hdl.handle.net/11449/249152
Resumo: This paper addresses the problem of Volt-Var optimization for conservation voltage reduction (CVR) implementation in medium voltage electric distribution systems (EDS) with high penetration levels of renewable energy sources (RES)-based distributed generation (DG). The proposed strategy seeks to coordinate the power dispatch of aggregated electric vehicles (EVs) for EDS voltage control taking into account technical characteristics and the driving patterns of individual EVs. The strategy is for the day-ahead operation scheduling, where decisions are made based on predictions of RES-based DG power production, conventional load consumption and EV driving patterns. Forecast errors are taken into account through a two-stage stochastic programming formulation, where probability density functions are used to describe the uncertainties of predicted parameters. Simulations were carried out on a 33-bus test system and results showed energy savings of up to 3% when EVs participate in voltage control.
id UNSP_14a33c40e3ed318fc3e74894b8dc6596
oai_identifier_str oai:repositorio.unesp.br:11449/249152
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling Volt-Var Optimization with Power Management of Plug-in Electric Vehicles for Conservation Voltage Reduction in Distribution SystemsConservation voltage reductionelectric vehiclesrenewable energy sourcesThis paper addresses the problem of Volt-Var optimization for conservation voltage reduction (CVR) implementation in medium voltage electric distribution systems (EDS) with high penetration levels of renewable energy sources (RES)-based distributed generation (DG). The proposed strategy seeks to coordinate the power dispatch of aggregated electric vehicles (EVs) for EDS voltage control taking into account technical characteristics and the driving patterns of individual EVs. The strategy is for the day-ahead operation scheduling, where decisions are made based on predictions of RES-based DG power production, conventional load consumption and EV driving patterns. Forecast errors are taken into account through a two-stage stochastic programming formulation, where probability density functions are used to describe the uncertainties of predicted parameters. Simulations were carried out on a 33-bus test system and results showed energy savings of up to 3% when EVs participate in voltage control.São Paulo State University-UNESP, SPUniversity of Porto and Inesc TecSão Paulo State University-UNESP, SPUniversidade Estadual Paulista (UNESP)University of Porto and Inesc TecQuijano, Darwin A. [UNESP]Padilha-Feltrin, Antonio [UNESP]Catalao, Joao P. S.2023-07-29T14:03:49Z2023-07-29T14:03:49Z2022-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/EEEIC/ICPSEurope54979.2022.98546112022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2022.http://hdl.handle.net/11449/24915210.1109/EEEIC/ICPSEurope54979.2022.98546112-s2.0-85137992871Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2022info:eu-repo/semantics/openAccess2024-07-04T19:11:27Zoai:repositorio.unesp.br:11449/249152Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:02:30.602913Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Volt-Var Optimization with Power Management of Plug-in Electric Vehicles for Conservation Voltage Reduction in Distribution Systems
title Volt-Var Optimization with Power Management of Plug-in Electric Vehicles for Conservation Voltage Reduction in Distribution Systems
spellingShingle Volt-Var Optimization with Power Management of Plug-in Electric Vehicles for Conservation Voltage Reduction in Distribution Systems
Quijano, Darwin A. [UNESP]
Conservation voltage reduction
electric vehicles
renewable energy sources
title_short Volt-Var Optimization with Power Management of Plug-in Electric Vehicles for Conservation Voltage Reduction in Distribution Systems
title_full Volt-Var Optimization with Power Management of Plug-in Electric Vehicles for Conservation Voltage Reduction in Distribution Systems
title_fullStr Volt-Var Optimization with Power Management of Plug-in Electric Vehicles for Conservation Voltage Reduction in Distribution Systems
title_full_unstemmed Volt-Var Optimization with Power Management of Plug-in Electric Vehicles for Conservation Voltage Reduction in Distribution Systems
title_sort Volt-Var Optimization with Power Management of Plug-in Electric Vehicles for Conservation Voltage Reduction in Distribution Systems
author Quijano, Darwin A. [UNESP]
author_facet Quijano, Darwin A. [UNESP]
Padilha-Feltrin, Antonio [UNESP]
Catalao, Joao P. S.
author_role author
author2 Padilha-Feltrin, Antonio [UNESP]
Catalao, Joao P. S.
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
University of Porto and Inesc Tec
dc.contributor.author.fl_str_mv Quijano, Darwin A. [UNESP]
Padilha-Feltrin, Antonio [UNESP]
Catalao, Joao P. S.
dc.subject.por.fl_str_mv Conservation voltage reduction
electric vehicles
renewable energy sources
topic Conservation voltage reduction
electric vehicles
renewable energy sources
description This paper addresses the problem of Volt-Var optimization for conservation voltage reduction (CVR) implementation in medium voltage electric distribution systems (EDS) with high penetration levels of renewable energy sources (RES)-based distributed generation (DG). The proposed strategy seeks to coordinate the power dispatch of aggregated electric vehicles (EVs) for EDS voltage control taking into account technical characteristics and the driving patterns of individual EVs. The strategy is for the day-ahead operation scheduling, where decisions are made based on predictions of RES-based DG power production, conventional load consumption and EV driving patterns. Forecast errors are taken into account through a two-stage stochastic programming formulation, where probability density functions are used to describe the uncertainties of predicted parameters. Simulations were carried out on a 33-bus test system and results showed energy savings of up to 3% when EVs participate in voltage control.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01
2023-07-29T14:03:49Z
2023-07-29T14:03:49Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1109/EEEIC/ICPSEurope54979.2022.9854611
2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2022.
http://hdl.handle.net/11449/249152
10.1109/EEEIC/ICPSEurope54979.2022.9854611
2-s2.0-85137992871
url http://dx.doi.org/10.1109/EEEIC/ICPSEurope54979.2022.9854611
http://hdl.handle.net/11449/249152
identifier_str_mv 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2022.
10.1109/EEEIC/ICPSEurope54979.2022.9854611
2-s2.0-85137992871
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2022
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_ 1808128597473361920