A Multi-Objective Distribution System Expansion Planning Incorporating Customer Choices on Reliability
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1109/TPWRS.2015.2430278 http://hdl.handle.net/11449/171870 |
Resumo: | This paper proposes a new multi-objective framework for primary distribution system planning (DSP). Further consideration is devoted to early DSP formulations in order to assess the risk imposed by probabilistic customer choices on reliability (CCOR). The CCOR is a buy/sell strategy that permits customers to pay the electricity price equiponderant to the reliability level provided by the distribution utility over the contract period. A Monte Carlo-based simulation is carried out to examine the effects of the probability of a customer's interest in adopting the CCOR on profit-at-risk. Furthermore, the DSP was conducted to simultaneously minimize both total planning cost and profit-at-risk. The resultant optimization problem is solved through the non-dominated sorting genetic algorithm (NSGA-II) accompanied by a fuzzy decision making method to select the best result among the obtained Pareto optimal set of solutions. The developed method is applied to an actual large-scale distribution system with about 140\thinspace000 customers, followed by a discussion on results. |
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Repositório Institucional da UNESP |
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A Multi-Objective Distribution System Expansion Planning Incorporating Customer Choices on ReliabilityCustomer choices on reliability (CCOR)distribution system planning (DSP)Monte Carlo simulationnon-dominated sorting genetic algorithm (NSGA-II)power system reliabilityprofit-at-riskThis paper proposes a new multi-objective framework for primary distribution system planning (DSP). Further consideration is devoted to early DSP formulations in order to assess the risk imposed by probabilistic customer choices on reliability (CCOR). The CCOR is a buy/sell strategy that permits customers to pay the electricity price equiponderant to the reliability level provided by the distribution utility over the contract period. A Monte Carlo-based simulation is carried out to examine the effects of the probability of a customer's interest in adopting the CCOR on profit-at-risk. Furthermore, the DSP was conducted to simultaneously minimize both total planning cost and profit-at-risk. The resultant optimization problem is solved through the non-dominated sorting genetic algorithm (NSGA-II) accompanied by a fuzzy decision making method to select the best result among the obtained Pareto optimal set of solutions. The developed method is applied to an actual large-scale distribution system with about 140\thinspace000 customers, followed by a discussion on results.School of Electrical Engineering Amirkabir University of Technology School of Electrical and Computer Engineering University of TehranFaculdade de Engenharia de Ilha Solteira UNESP-universidade Estadual Paulista Departamento de Engenharia ElétricaFaculdade de Engenharia de Ilha Solteira UNESP-universidade Estadual Paulista Departamento de Engenharia ElétricaUniversity of TehranUniversidade Estadual Paulista (Unesp)Mazhari, Seyed MahdiMonsef, HassanRomero, Ruben [UNESP]2018-12-11T16:57:31Z2018-12-11T16:57:31Z2016-03-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1330-1340application/pdfhttp://dx.doi.org/10.1109/TPWRS.2015.2430278IEEE Transactions on Power Systems, v. 31, n. 2, p. 1330-1340, 2016.0885-8950http://hdl.handle.net/11449/17187010.1109/TPWRS.2015.24302782-s2.0-849304421072-s2.0-84930442107.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengIEEE Transactions on Power Systems2,742info:eu-repo/semantics/openAccess2024-07-04T19:06:57Zoai:repositorio.unesp.br:11449/171870Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T23:48:52.815982Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
A Multi-Objective Distribution System Expansion Planning Incorporating Customer Choices on Reliability |
title |
A Multi-Objective Distribution System Expansion Planning Incorporating Customer Choices on Reliability |
spellingShingle |
A Multi-Objective Distribution System Expansion Planning Incorporating Customer Choices on Reliability Mazhari, Seyed Mahdi Customer choices on reliability (CCOR) distribution system planning (DSP) Monte Carlo simulation non-dominated sorting genetic algorithm (NSGA-II) power system reliability profit-at-risk |
title_short |
A Multi-Objective Distribution System Expansion Planning Incorporating Customer Choices on Reliability |
title_full |
A Multi-Objective Distribution System Expansion Planning Incorporating Customer Choices on Reliability |
title_fullStr |
A Multi-Objective Distribution System Expansion Planning Incorporating Customer Choices on Reliability |
title_full_unstemmed |
A Multi-Objective Distribution System Expansion Planning Incorporating Customer Choices on Reliability |
title_sort |
A Multi-Objective Distribution System Expansion Planning Incorporating Customer Choices on Reliability |
author |
Mazhari, Seyed Mahdi |
author_facet |
Mazhari, Seyed Mahdi Monsef, Hassan Romero, Ruben [UNESP] |
author_role |
author |
author2 |
Monsef, Hassan Romero, Ruben [UNESP] |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
University of Tehran Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Mazhari, Seyed Mahdi Monsef, Hassan Romero, Ruben [UNESP] |
dc.subject.por.fl_str_mv |
Customer choices on reliability (CCOR) distribution system planning (DSP) Monte Carlo simulation non-dominated sorting genetic algorithm (NSGA-II) power system reliability profit-at-risk |
topic |
Customer choices on reliability (CCOR) distribution system planning (DSP) Monte Carlo simulation non-dominated sorting genetic algorithm (NSGA-II) power system reliability profit-at-risk |
description |
This paper proposes a new multi-objective framework for primary distribution system planning (DSP). Further consideration is devoted to early DSP formulations in order to assess the risk imposed by probabilistic customer choices on reliability (CCOR). The CCOR is a buy/sell strategy that permits customers to pay the electricity price equiponderant to the reliability level provided by the distribution utility over the contract period. A Monte Carlo-based simulation is carried out to examine the effects of the probability of a customer's interest in adopting the CCOR on profit-at-risk. Furthermore, the DSP was conducted to simultaneously minimize both total planning cost and profit-at-risk. The resultant optimization problem is solved through the non-dominated sorting genetic algorithm (NSGA-II) accompanied by a fuzzy decision making method to select the best result among the obtained Pareto optimal set of solutions. The developed method is applied to an actual large-scale distribution system with about 140\thinspace000 customers, followed by a discussion on results. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-03-01 2018-12-11T16:57:31Z 2018-12-11T16:57:31Z |
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.2015.2430278 IEEE Transactions on Power Systems, v. 31, n. 2, p. 1330-1340, 2016. 0885-8950 http://hdl.handle.net/11449/171870 10.1109/TPWRS.2015.2430278 2-s2.0-84930442107 2-s2.0-84930442107.pdf |
url |
http://dx.doi.org/10.1109/TPWRS.2015.2430278 http://hdl.handle.net/11449/171870 |
identifier_str_mv |
IEEE Transactions on Power Systems, v. 31, n. 2, p. 1330-1340, 2016. 0885-8950 10.1109/TPWRS.2015.2430278 2-s2.0-84930442107 2-s2.0-84930442107.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
IEEE Transactions on Power Systems 2,742 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
1330-1340 application/pdf |
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_ |
1808129554088198144 |