Distributed transactive control in distribution systems with microgrids

Microgrids are considered as a cornerstone in the evolution to a smarter grid. However, this evolution brings some critical challenges for the control in a real-time implementation. We present two control algorithms to operate a power system with microgrids and other two to operate microgrids in ord...

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Autores:
Baron Prada, Eder David
Tipo de recurso:
Fecha de publicación:
2018
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/68807
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/68807
http://bdigital.unal.edu.co/70045/
Palabra clave:
0 Generalidades / Computer science, information and general works
62 Ingeniería y operaciones afines / Engineering
Distributed Control
Distributed Optimization
Transactive Control
Projection Algorithms
Asynchronous Algorithms
Game Theory
Microgrids
Control distribuido
Optimización distribuida
Control transaccional
Algoritmos de proyección
Algoritmos asíncronos
Teoría de juegos
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
id UNACIONAL2_4ee0f74d50083931a400f2d71b537986
oai_identifier_str oai:repositorio.unal.edu.co:unal/68807
network_acronym_str UNACIONAL2
network_name_str Universidad Nacional de Colombia
repository_id_str
dc.title.spa.fl_str_mv Distributed transactive control in distribution systems with microgrids
title Distributed transactive control in distribution systems with microgrids
spellingShingle Distributed transactive control in distribution systems with microgrids
0 Generalidades / Computer science, information and general works
62 Ingeniería y operaciones afines / Engineering
Distributed Control
Distributed Optimization
Transactive Control
Projection Algorithms
Asynchronous Algorithms
Game Theory
Microgrids
Control distribuido
Optimización distribuida
Control transaccional
Algoritmos de proyección
Algoritmos asíncronos
Teoría de juegos
title_short Distributed transactive control in distribution systems with microgrids
title_full Distributed transactive control in distribution systems with microgrids
title_fullStr Distributed transactive control in distribution systems with microgrids
title_full_unstemmed Distributed transactive control in distribution systems with microgrids
title_sort Distributed transactive control in distribution systems with microgrids
dc.creator.fl_str_mv Baron Prada, Eder David
dc.contributor.author.spa.fl_str_mv Baron Prada, Eder David
dc.contributor.spa.fl_str_mv Mojica Nava, Eduardo Alirio
dc.subject.ddc.spa.fl_str_mv 0 Generalidades / Computer science, information and general works
62 Ingeniería y operaciones afines / Engineering
topic 0 Generalidades / Computer science, information and general works
62 Ingeniería y operaciones afines / Engineering
Distributed Control
Distributed Optimization
Transactive Control
Projection Algorithms
Asynchronous Algorithms
Game Theory
Microgrids
Control distribuido
Optimización distribuida
Control transaccional
Algoritmos de proyección
Algoritmos asíncronos
Teoría de juegos
dc.subject.proposal.spa.fl_str_mv Distributed Control
Distributed Optimization
Transactive Control
Projection Algorithms
Asynchronous Algorithms
Game Theory
Microgrids
Control distribuido
Optimización distribuida
Control transaccional
Algoritmos de proyección
Algoritmos asíncronos
Teoría de juegos
description Microgrids are considered as a cornerstone in the evolution to a smarter grid. However, this evolution brings some critical challenges for the control in a real-time implementation. We present two control algorithms to operate a power system with microgrids and other two to operate microgrids in order to reach the optimal social welfare. We consider three types of agents: photovoltaic generators, conventional generators and smart loads. These agents can be aggregated into a microgrid or interact directly in the power system depending on their power. To optimize the microgrids, we use two strategies. First one is based on projected consensus algorithm, where each agent iteratively optimizes its local utility function based on local information obtained from its neighbors and global information obtained through a distributed finite-time average algorithm. The second one is based on populations game theory; specifically we use a centralized replicator dynamics where a central agent iteratively optimizes the system status. To optimize the whole power system we use two strategies, first an asynchronous algorithm based on primal-dual optimization is proposed, where we consider that agents update the primal variables and a "virtual agent" updates the dual variables. Our last algorithm is a distributed transactive control algorithm based on populations games to dynamically manage the distributed generators and smart loads in the system to reach the optimum social welfare. Agents are considered non-cooperative, and they are individually incentive-driven. The proposed algorithm preserve stability while guarantee optimality conditions considering several constraints in the system on the real-time operation. We show numerical results of the proposed control strategies.
publishDate 2018
dc.date.issued.spa.fl_str_mv 2018-10-29
dc.date.accessioned.spa.fl_str_mv 2019-07-03T10:11:25Z
dc.date.available.spa.fl_str_mv 2019-07-03T10:11:25Z
dc.type.spa.fl_str_mv Trabajo de grado - Maestría
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/masterThesis
dc.type.version.spa.fl_str_mv info:eu-repo/semantics/acceptedVersion
dc.type.content.spa.fl_str_mv Text
dc.type.redcol.spa.fl_str_mv http://purl.org/redcol/resource_type/TM
status_str acceptedVersion
dc.identifier.uri.none.fl_str_mv https://repositorio.unal.edu.co/handle/unal/68807
dc.identifier.eprints.spa.fl_str_mv http://bdigital.unal.edu.co/70045/
url https://repositorio.unal.edu.co/handle/unal/68807
http://bdigital.unal.edu.co/70045/
dc.language.iso.spa.fl_str_mv spa
language spa
dc.relation.ispartof.spa.fl_str_mv Universidad Nacional de Colombia Sede Bogotá Facultad de Ingeniería Departamento de Ingeniería Eléctrica y Electrónica
Departamento de Ingeniería Eléctrica y Electrónica
dc.relation.references.spa.fl_str_mv Baron Prada, Eder David (2018) Distributed transactive control in distribution systems with microgrids. Maestría thesis, Universidad Nacional de Colombia - Sede Bogotá.
dc.rights.spa.fl_str_mv Derechos reservados - Universidad Nacional de Colombia
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.license.spa.fl_str_mv Atribución-NoComercial 4.0 Internacional
dc.rights.uri.spa.fl_str_mv http://creativecommons.org/licenses/by-nc/4.0/
dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv Atribución-NoComercial 4.0 Internacional
Derechos reservados - Universidad Nacional de Colombia
http://creativecommons.org/licenses/by-nc/4.0/
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.mimetype.spa.fl_str_mv application/pdf
institution Universidad Nacional de Colombia
bitstream.url.fl_str_mv https://repositorio.unal.edu.co/bitstream/unal/68807/1/Tesis_Eder.pdf
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repository.name.fl_str_mv Repositorio Institucional Universidad Nacional de Colombia
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spelling Atribución-NoComercial 4.0 InternacionalDerechos reservados - Universidad Nacional de Colombiahttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Mojica Nava, Eduardo AlirioBaron Prada, Eder David90838cab-7b86-4302-9026-f867e943d2fe3002019-07-03T10:11:25Z2019-07-03T10:11:25Z2018-10-29https://repositorio.unal.edu.co/handle/unal/68807http://bdigital.unal.edu.co/70045/Microgrids are considered as a cornerstone in the evolution to a smarter grid. However, this evolution brings some critical challenges for the control in a real-time implementation. We present two control algorithms to operate a power system with microgrids and other two to operate microgrids in order to reach the optimal social welfare. We consider three types of agents: photovoltaic generators, conventional generators and smart loads. These agents can be aggregated into a microgrid or interact directly in the power system depending on their power. To optimize the microgrids, we use two strategies. First one is based on projected consensus algorithm, where each agent iteratively optimizes its local utility function based on local information obtained from its neighbors and global information obtained through a distributed finite-time average algorithm. The second one is based on populations game theory; specifically we use a centralized replicator dynamics where a central agent iteratively optimizes the system status. To optimize the whole power system we use two strategies, first an asynchronous algorithm based on primal-dual optimization is proposed, where we consider that agents update the primal variables and a "virtual agent" updates the dual variables. Our last algorithm is a distributed transactive control algorithm based on populations games to dynamically manage the distributed generators and smart loads in the system to reach the optimum social welfare. Agents are considered non-cooperative, and they are individually incentive-driven. The proposed algorithm preserve stability while guarantee optimality conditions considering several constraints in the system on the real-time operation. We show numerical results of the proposed control strategies.Resumen: Las microrredes están consideradas como la piedra angular de la evolución hacia una red más inteligente. Sin embargo, esta evolución trae consigo algunos retos importantes para el control en la implementación en tiempo real. Presentamos dos algoritmos de control para operar un sistema de energía con microrredes y otros dos para operar microrredes con el fin de alcanzar el bienestar social óptimo. Consideramos dos tipos de agentes: generadores convencionales y cargas inteligentes. Estos agentes pueden ser agregados en una microred o interactuar directamente en el sistema de energía dependiendo de su potencia. Para optimizar las microrredes utilizamos dos estrategias, la primera se basa en un algoritmo de consenso proyectado, donde cada una de ellas optimiza iterativamente su función de utilidad local a partir de la información local obtenida de sus vecinos y la información global obtenida a través de un algoritmo distribuido de tiempo finito promedio. El segundo se basa en la teoría de juegos de poblaciones, específicamente usamos una dinámica de replicador centralizada donde un agente central optimiza iterativamente el estado del sistema. Para optimizar todo el sistema de potencia utilizamos dos estrategias, la primera es proponer un algoritmo asíncrono basado en la optimización prima-dual, donde consideramos que los agentes actualizan las variables primarias y un ”agente virtual” actualiza las variables duales. Nuestro último algoritmo es un algoritmo de control transaccional distribuido basado en juegos de poblaciones para gestionar dinámicamente los generadores distribuidos y las cargas inteligentes en el sistema para alcanzar el bienestar social óptimo. Se considera que los agentes no cooperan y se basan en incentivos individuales. El algoritmo propuesto preserva la estabilidad a la vez que garantiza condiciones óptimas considerando varias restricciones en el sistema sobre la operación en tiempo real. Se muestran los resultados numéricos de las estrategias de control propuestas.Maestríaapplication/pdfspaUniversidad Nacional de Colombia Sede Bogotá Facultad de Ingeniería Departamento de Ingeniería Eléctrica y ElectrónicaDepartamento de Ingeniería Eléctrica y ElectrónicaBaron Prada, Eder David (2018) Distributed transactive control in distribution systems with microgrids. Maestría thesis, Universidad Nacional de Colombia - Sede Bogotá.0 Generalidades / Computer science, information and general works62 Ingeniería y operaciones afines / EngineeringDistributed ControlDistributed OptimizationTransactive ControlProjection AlgorithmsAsynchronous AlgorithmsGame TheoryMicrogridsControl distribuidoOptimización distribuidaControl transaccionalAlgoritmos de proyecciónAlgoritmos asíncronosTeoría de juegosDistributed transactive control in distribution systems with microgridsTrabajo de grado - Maestríainfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/acceptedVersionTexthttp://purl.org/redcol/resource_type/TMORIGINALTesis_Eder.pdfapplication/pdf2035417https://repositorio.unal.edu.co/bitstream/unal/68807/1/Tesis_Eder.pdffc079370f4bd999e93a2975fbc9c57dbMD51THUMBNAILTesis_Eder.pdf.jpgTesis_Eder.pdf.jpgGenerated Thumbnailimage/jpeg4130https://repositorio.unal.edu.co/bitstream/unal/68807/2/Tesis_Eder.pdf.jpg4b9b7b3c178287bacc7600f8294ac76eMD52unal/68807oai:repositorio.unal.edu.co:unal/688072023-06-05 23:03:19.162Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.co