Stability conditions for a stochastic dynamic optimizer for optimal dispatch policies in power systems with hydroelectrical generation

Chaer, Ruben - Monzón, Pablo

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.


Detalles Bibliográficos
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
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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
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language eng
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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
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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