Volt-Var Optimization with Power Management of Plug-in Electric Vehicles for Conservation Voltage Reduction in Distribution Systems
Autor(a) principal: | |
---|---|
Data de Publicação: | 2022 |
Outros Autores: | , |
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 |