Investment decisions in distribution networks under uncertainty with distributed generation-part II: Implementation and results
- Autores
- Samper, Mauricio Eduardo; Vargas, Alberto
- Año de publicación
- 2013
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Investment in distributed generation (DG) is an attractive distribution planning option for adding flexibility to an expansion plan, mainly by deferring network reinforcements. In this first part of a two-part paper, a risk-based optimization approach is proposed to model a multistage distribution expansion planning problem that takes DG into account as a flexible option to temporarily defer large network investments. Five features of the installation of DG related to location, size, type, operation and timing are all optimized. The evolutionary particle swarm optimization (EPSO) method is applied to solve this mixed integer nonlinear problem. A return-per-risk index is proposed to assess expansion investments. This index achieves an efficient synergy between the expected return and the risk of investments by performing Monte Carlo simulations. In turn, the flexibility of network investment deferral is assessed through a real option valuation. Finally, in order to quantify the investment deferral benefit, the expected return from a traditional expansion plan (without DG) is compared to the return obtained from a flexible expansion plan (with DG). In the companion paper, the proposed approach is tested on a typical Latin American distribution network; implementation aspects and analysis of numerical results are presented.
Fil: Samper, Mauricio Eduardo. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energia Eléctrica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energia Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energia Eléctrica; Argentina
Fil: Vargas, Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energia Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energia Eléctrica; Argentina - Materia
-
Distributed Generation
Epso
Distribution Planning
Expansion Decisions
Real Options
Risk Analysis - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/22908
Ver los metadatos del registro completo
id |
CONICETDig_2240db27bb72f0723deb159e96f2b47d |
---|---|
oai_identifier_str |
oai:ri.conicet.gov.ar:11336/22908 |
network_acronym_str |
CONICETDig |
repository_id_str |
3498 |
network_name_str |
CONICET Digital (CONICET) |
spelling |
Investment decisions in distribution networks under uncertainty with distributed generation-part II: Implementation and resultsSamper, Mauricio EduardoVargas, AlbertoDistributed GenerationEpsoDistribution PlanningExpansion DecisionsReal OptionsRisk Analysishttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2Investment in distributed generation (DG) is an attractive distribution planning option for adding flexibility to an expansion plan, mainly by deferring network reinforcements. In this first part of a two-part paper, a risk-based optimization approach is proposed to model a multistage distribution expansion planning problem that takes DG into account as a flexible option to temporarily defer large network investments. Five features of the installation of DG related to location, size, type, operation and timing are all optimized. The evolutionary particle swarm optimization (EPSO) method is applied to solve this mixed integer nonlinear problem. A return-per-risk index is proposed to assess expansion investments. This index achieves an efficient synergy between the expected return and the risk of investments by performing Monte Carlo simulations. In turn, the flexibility of network investment deferral is assessed through a real option valuation. Finally, in order to quantify the investment deferral benefit, the expected return from a traditional expansion plan (without DG) is compared to the return obtained from a flexible expansion plan (with DG). In the companion paper, the proposed approach is tested on a typical Latin American distribution network; implementation aspects and analysis of numerical results are presented.Fil: Samper, Mauricio Eduardo. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energia Eléctrica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energia Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energia Eléctrica; ArgentinaFil: Vargas, Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energia Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energia Eléctrica; ArgentinaInstitute of Electrical and Electronics Engineers2013-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/22908Samper, Mauricio Eduardo; Vargas, Alberto; Investment decisions in distribution networks under uncertainty with distributed generation-part II: Implementation and results; Institute of Electrical and Electronics Engineers; Ieee Transactions On Power Systems; 28; 3; 8-2013; 2341-23510885-89501558-0679CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://ieeexplore.ieee.org/document/6450148/info:eu-repo/semantics/altIdentifier/doi/10.1109/TPWRS.2013.2239667info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:09:17Zoai:ri.conicet.gov.ar:11336/22908instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 10:09:17.539CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Investment decisions in distribution networks under uncertainty with distributed generation-part II: Implementation and results |
title |
Investment decisions in distribution networks under uncertainty with distributed generation-part II: Implementation and results |
spellingShingle |
Investment decisions in distribution networks under uncertainty with distributed generation-part II: Implementation and results Samper, Mauricio Eduardo Distributed Generation Epso Distribution Planning Expansion Decisions Real Options Risk Analysis |
title_short |
Investment decisions in distribution networks under uncertainty with distributed generation-part II: Implementation and results |
title_full |
Investment decisions in distribution networks under uncertainty with distributed generation-part II: Implementation and results |
title_fullStr |
Investment decisions in distribution networks under uncertainty with distributed generation-part II: Implementation and results |
title_full_unstemmed |
Investment decisions in distribution networks under uncertainty with distributed generation-part II: Implementation and results |
title_sort |
Investment decisions in distribution networks under uncertainty with distributed generation-part II: Implementation and results |
dc.creator.none.fl_str_mv |
Samper, Mauricio Eduardo Vargas, Alberto |
author |
Samper, Mauricio Eduardo |
author_facet |
Samper, Mauricio Eduardo Vargas, Alberto |
author_role |
author |
author2 |
Vargas, Alberto |
author2_role |
author |
dc.subject.none.fl_str_mv |
Distributed Generation Epso Distribution Planning Expansion Decisions Real Options Risk Analysis |
topic |
Distributed Generation Epso Distribution Planning Expansion Decisions Real Options Risk Analysis |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/2.2 https://purl.org/becyt/ford/2 |
dc.description.none.fl_txt_mv |
Investment in distributed generation (DG) is an attractive distribution planning option for adding flexibility to an expansion plan, mainly by deferring network reinforcements. In this first part of a two-part paper, a risk-based optimization approach is proposed to model a multistage distribution expansion planning problem that takes DG into account as a flexible option to temporarily defer large network investments. Five features of the installation of DG related to location, size, type, operation and timing are all optimized. The evolutionary particle swarm optimization (EPSO) method is applied to solve this mixed integer nonlinear problem. A return-per-risk index is proposed to assess expansion investments. This index achieves an efficient synergy between the expected return and the risk of investments by performing Monte Carlo simulations. In turn, the flexibility of network investment deferral is assessed through a real option valuation. Finally, in order to quantify the investment deferral benefit, the expected return from a traditional expansion plan (without DG) is compared to the return obtained from a flexible expansion plan (with DG). In the companion paper, the proposed approach is tested on a typical Latin American distribution network; implementation aspects and analysis of numerical results are presented. Fil: Samper, Mauricio Eduardo. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energia Eléctrica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energia Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energia Eléctrica; Argentina Fil: Vargas, Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energia Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energia Eléctrica; Argentina |
description |
Investment in distributed generation (DG) is an attractive distribution planning option for adding flexibility to an expansion plan, mainly by deferring network reinforcements. In this first part of a two-part paper, a risk-based optimization approach is proposed to model a multistage distribution expansion planning problem that takes DG into account as a flexible option to temporarily defer large network investments. Five features of the installation of DG related to location, size, type, operation and timing are all optimized. The evolutionary particle swarm optimization (EPSO) method is applied to solve this mixed integer nonlinear problem. A return-per-risk index is proposed to assess expansion investments. This index achieves an efficient synergy between the expected return and the risk of investments by performing Monte Carlo simulations. In turn, the flexibility of network investment deferral is assessed through a real option valuation. Finally, in order to quantify the investment deferral benefit, the expected return from a traditional expansion plan (without DG) is compared to the return obtained from a flexible expansion plan (with DG). In the companion paper, the proposed approach is tested on a typical Latin American distribution network; implementation aspects and analysis of numerical results are presented. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-08 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/22908 Samper, Mauricio Eduardo; Vargas, Alberto; Investment decisions in distribution networks under uncertainty with distributed generation-part II: Implementation and results; Institute of Electrical and Electronics Engineers; Ieee Transactions On Power Systems; 28; 3; 8-2013; 2341-2351 0885-8950 1558-0679 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/22908 |
identifier_str_mv |
Samper, Mauricio Eduardo; Vargas, Alberto; Investment decisions in distribution networks under uncertainty with distributed generation-part II: Implementation and results; Institute of Electrical and Electronics Engineers; Ieee Transactions On Power Systems; 28; 3; 8-2013; 2341-2351 0885-8950 1558-0679 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/http://ieeexplore.ieee.org/document/6450148/ info:eu-repo/semantics/altIdentifier/doi/10.1109/TPWRS.2013.2239667 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Institute of Electrical and Electronics Engineers |
publisher.none.fl_str_mv |
Institute of Electrical and Electronics Engineers |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
_version_ |
1842270074671464448 |
score |
13.13397 |