Stability conditions for a stochastic dynamic optimizer for optimal dispatch policies in power systems with hydroelectrical generation
Resumen:
This work analyzes the necessary and sufficient conditions for the stability of the stochastic dynamic optimization algorithm for the calculus of the water cost for one hydroelectrical generation plant. We present the theory and different simulations for parameters inside and outside the stability region. A particular relationship between the time integration step, the space discretization step and the maximal incoming and outcoming flows. In order to show some advantages and disadvantages of the method, we show a simulation of the Uruguayan generation system with four hydroelectrical generation plants. We show that the stability conditions impose a small time simulation step, i.e., large total simulation time. As a future research direction, we think that this time can be reduced using non linear integration methods.
2008 | |
Stochastic optimization Power generation dispatch Hydrotermal scheduling |
|
Inglés | |
Universidad de la República | |
COLIBRI | |
https://hdl.handle.net/20.500.12008/38602 | |
Acceso abierto | |
Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
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---|---|
author | Chaer, Ruben |
author2 | Monzón, Pablo |
author2_role | author |
author_facet | Chaer, Ruben Monzón, Pablo |
author_role | author |
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collection | COLIBRI |
dc.creator.none.fl_str_mv | Chaer, Ruben Monzón, Pablo |
dc.date.accessioned.none.fl_str_mv | 2023-08-01T20:32:58Z |
dc.date.available.none.fl_str_mv | 2023-08-01T20:32:58Z |
dc.date.issued.es.fl_str_mv | 2008 |
dc.date.submitted.es.fl_str_mv | 20230801 |
dc.description.abstract.none.fl_txt_mv | This work analyzes the necessary and sufficient conditions for the stability of the stochastic dynamic optimization algorithm for the calculus of the water cost for one hydroelectrical generation plant. We present the theory and different simulations for parameters inside and outside the stability region. A particular relationship between the time integration step, the space discretization step and the maximal incoming and outcoming flows. In order to show some advantages and disadvantages of the method, we show a simulation of the Uruguayan generation system with four hydroelectrical generation plants. We show that the stability conditions impose a small time simulation step, i.e., large total simulation time. As a future research direction, we think that this time can be reduced using non linear integration methods. |
dc.identifier.citation.es.fl_str_mv | Chaer, Ruben Monzón, Pablo. Stability conditions for a stochastic dynamic optimizer for optimal dispatch policies in power systems with hydroelectrical generation. IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, Bogotá, Colombia, 2008. Doi: 10.1109/TDC-LA.2008.4641717 |
dc.identifier.doi.es.fl_str_mv | Doi: 10.1109/TDC-LA.2008.4641717 |
dc.identifier.uri.none.fl_str_mv | https://hdl.handle.net/20.500.12008/38602 |
dc.language.iso.none.fl_str_mv | en eng |
dc.publisher.es.fl_str_mv | IEEE |
dc.relation.ispartof.es.fl_str_mv | IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, Bogotá, Colombia, 2008 |
dc.rights.license.none.fl_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess |
dc.source.none.fl_str_mv | reponame:COLIBRI instname:Universidad de la República instacron:Universidad de la República |
dc.subject.es.fl_str_mv | Stochastic optimization Power generation dispatch Hydrotermal scheduling |
dc.title.none.fl_str_mv | Stability conditions for a stochastic dynamic optimizer for optimal dispatch policies in power systems with hydroelectrical generation |
dc.type.es.fl_str_mv | Ponencia |
dc.type.none.fl_str_mv | info:eu-repo/semantics/conferenceObject |
dc.type.version.none.fl_str_mv | info:eu-repo/semantics/publishedVersion |
description | This work analyzes the necessary and sufficient conditions for the stability of the stochastic dynamic optimization algorithm for the calculus of the water cost for one hydroelectrical generation plant. We present the theory and different simulations for parameters inside and outside the stability region. A particular relationship between the time integration step, the space discretization step and the maximal incoming and outcoming flows. In order to show some advantages and disadvantages of the method, we show a simulation of the Uruguayan generation system with four hydroelectrical generation plants. We show that the stability conditions impose a small time simulation step, i.e., large total simulation time. As a future research direction, we think that this time can be reduced using non linear integration methods. |
eu_rights_str_mv | openAccess |
format | conferenceObject |
id | COLIBRI_e18cd7ee02b84fb19d20f3166fcb3d92 |
identifier_str_mv | Chaer, Ruben Monzón, Pablo. Stability conditions for a stochastic dynamic optimizer for optimal dispatch policies in power systems with hydroelectrical generation. IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, Bogotá, Colombia, 2008. Doi: 10.1109/TDC-LA.2008.4641717 Doi: 10.1109/TDC-LA.2008.4641717 |
instacron_str | Universidad de la República |
institution | Universidad de la República |
instname_str | Universidad de la República |
language | eng |
language_invalid_str_mv | en |
network_acronym_str | COLIBRI |
network_name_str | COLIBRI |
oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/38602 |
publishDate | 2008 |
reponame_str | COLIBRI |
repository.mail.fl_str_mv | mabel.seroubian@seciu.edu.uy |
repository.name.fl_str_mv | COLIBRI - Universidad de la República |
repository_id_str | 4771 |
rights_invalid_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
spelling | 2023-08-01T20:32:58Z2023-08-01T20:32:58Z200820230801Chaer, RubenMonzón, Pablo. Stability conditions for a stochastic dynamic optimizer for optimal dispatch policies in power systems with hydroelectrical generation. IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, Bogotá, Colombia, 2008. Doi: 10.1109/TDC-LA.2008.4641717https://hdl.handle.net/20.500.12008/38602Doi: 10.1109/TDC-LA.2008.4641717This work analyzes the necessary and sufficient conditions for the stability of the stochastic dynamic optimization algorithm for the calculus of the water cost for one hydroelectrical generation plant. We present the theory and different simulations for parameters inside and outside the stability region. A particular relationship between the time integration step, the space discretization step and the maximal incoming and outcoming flows. In order to show some advantages and disadvantages of the method, we show a simulation of the Uruguayan generation system with four hydroelectrical generation plants. We show that the stability conditions impose a small time simulation step, i.e., large total simulation time. As a future research direction, we think that this time can be reduced using non linear integration methods.Made available in DSpace on 2023-08-01T20:32:58Z (GMT). No. of bitstreams: 5 CM08b.pdf: 620298 bytes, checksum: 452b45cfcfa318e3439136aa6101b742 (MD5) license_text: 21936 bytes, checksum: 9833653f73f7853880c94a6fead477b1 (MD5) license_url: 49 bytes, checksum: 4afdbb8c545fd630ea7db775da747b2f (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) license.txt: 4194 bytes, checksum: 7f2e2c17ef6585de66da58d1bfa8b5e1 (MD5) Previous issue date: 2008enengIEEEIEEE/PES Transmission and Distribution Conference and Exposition: Latin America, Bogotá, Colombia, 2008Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad De La República. (Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)Stochastic optimizationPower generation dispatchHydrotermal schedulingStability conditions for a stochastic dynamic optimizer for optimal dispatch policies in power systems with hydroelectrical generationPonenciainfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaChaer, RubenMonzón, PabloPotenciaPotenciaEnergía EléctricaEstabilidad y Control de Sistemas Electricos de 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- Universidad de la Repúblicafalse |
spellingShingle | Stability conditions for a stochastic dynamic optimizer for optimal dispatch policies in power systems with hydroelectrical generation Chaer, Ruben Stochastic optimization Power generation dispatch Hydrotermal scheduling |
status_str | publishedVersion |
title | Stability conditions for a stochastic dynamic optimizer for optimal dispatch policies in power systems with hydroelectrical generation |
title_full | Stability conditions for a stochastic dynamic optimizer for optimal dispatch policies in power systems with hydroelectrical generation |
title_fullStr | Stability conditions for a stochastic dynamic optimizer for optimal dispatch policies in power systems with hydroelectrical generation |
title_full_unstemmed | Stability conditions for a stochastic dynamic optimizer for optimal dispatch policies in power systems with hydroelectrical generation |
title_short | Stability conditions for a stochastic dynamic optimizer for optimal dispatch policies in power systems with hydroelectrical generation |
title_sort | Stability conditions for a stochastic dynamic optimizer for optimal dispatch policies in power systems with hydroelectrical generation |
topic | Stochastic optimization Power generation dispatch Hydrotermal scheduling |
url | https://hdl.handle.net/20.500.12008/38602 |