Design of a non-linear contro ller to track de maximum power point of photovoltaic systems in electrical power systems with distributed generation

This Doctoral thesis work is focused on the non-linear backstepping control of a buck-boost power converter and DC/AC power converter to track the maximum power point in PV systems and transfer the power to the electrical network. First, a backstepping control has been implemented to regulate the PV...

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Autor: Delgado Martín, Aránzazu
Tipo de recurso: tesis doctoral
Fecha de publicación:2016
País:España
Institución:Universidad de Huelva (UHU)
Repositorio:Arias Montano. Repositorio Institucional de la Universidad de Huelva
Idioma:inglés
OAI Identifier:oai:ariasmontano.uhu.es:10272/12974
Acceso en línea:http://hdl.handle.net/10272/12974
Access Level:acceso abierto
Palabra clave:Sistemas fotovoltaicos
Convertidores eléctricos -- Control
Backstepping control
PV system
Buck-boost converter
MPPT algorithm
DC/AC converter
Control backstepping
Sistemafotovoltaico
Convertidor buck-boost
Algoritmo MPPT
Convertidor DC/AC
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network_acronym_str ES
network_name_str España
repository_id_str
dc.title.none.fl_str_mv Design of a non-linear contro ller to track de maximum power point of photovoltaic systems in electrical power systems with distributed generation
title Design of a non-linear contro ller to track de maximum power point of photovoltaic systems in electrical power systems with distributed generation
spellingShingle Design of a non-linear contro ller to track de maximum power point of photovoltaic systems in electrical power systems with distributed generation
Delgado Martín, Aránzazu
Sistemas fotovoltaicos
Convertidores eléctricos -- Control
Backstepping control
PV system
Buck-boost converter
MPPT algorithm
DC/AC converter
Control backstepping
Sistemafotovoltaico
Convertidor buck-boost
Algoritmo MPPT
Convertidor DC/AC
title_short Design of a non-linear contro ller to track de maximum power point of photovoltaic systems in electrical power systems with distributed generation
title_full Design of a non-linear contro ller to track de maximum power point of photovoltaic systems in electrical power systems with distributed generation
title_fullStr Design of a non-linear contro ller to track de maximum power point of photovoltaic systems in electrical power systems with distributed generation
title_full_unstemmed Design of a non-linear contro ller to track de maximum power point of photovoltaic systems in electrical power systems with distributed generation
title_sort Design of a non-linear contro ller to track de maximum power point of photovoltaic systems in electrical power systems with distributed generation
dc.creator.none.fl_str_mv Delgado Martín, Aránzazu
author Delgado Martín, Aránzazu
author_facet Delgado Martín, Aránzazu
author_role author
dc.contributor.none.fl_str_mv Rodríguez Vázquez, Jesús
Universidad de Huelva. Departamento de Ingeniería Eléctrica y Térmica
dc.subject.none.fl_str_mv Sistemas fotovoltaicos
Convertidores eléctricos -- Control
Backstepping control
PV system
Buck-boost converter
MPPT algorithm
DC/AC converter
Control backstepping
Sistemafotovoltaico
Convertidor buck-boost
Algoritmo MPPT
Convertidor DC/AC
topic Sistemas fotovoltaicos
Convertidores eléctricos -- Control
Backstepping control
PV system
Buck-boost converter
MPPT algorithm
DC/AC converter
Control backstepping
Sistemafotovoltaico
Convertidor buck-boost
Algoritmo MPPT
Convertidor DC/AC
description This Doctoral thesis work is focused on the non-linear backstepping control of a buck-boost power converter and DC/AC power converter to track the maximum power point in PV systems and transfer the power to the electrical network. First, a backstepping control has been implemented to regulate the PV array output voltage in simulation to achieve the maximum power point. Forthat, a grid-connected PV system that consists of a PV array, a buck-boost converter, a DC/AC converter and a load has been modeled in Matlab-Simulink. Then, the designed backstepping controller is implemented in the system. The backstepping control is based on Lyapunov functions guaranteeing the locally stability of the system. This control is robust and tests have been carried out to validate its performance. Once the proposed control is verified in simulation, the method has been proved in an experimental platform. In this case, the experimental platform consists of a commercial PV module, a built buck-boost converter and a DC load to test the backstepping controller in the DC/DC converter. The experiments carried out validate the performance of the proposed control. The voltage that provides the maximum power point is always achieved under changeable environmental conditions, testing the robustness of the control. Finally, the non-linear backstepping controller is proposed to control the DC/AC power converter in an experimental platform, including the connection to the grid. Thus, backstepping controllers are obtained for distributed hybrid photovoltaic (PV) power supplies of telecommunication equipment. The grid-connected PV system contains the PV array, the built DC-DC buck-boost converters linked to single-phase inverters and telecom equipment as loads. The backstepping approach is robust and able to cope with the grid non-linearity and uncertainties, providing DC input current and voltage controllers for the buck-boost converter to track the PV panel maximum power point, regulating the PV output DC voltage to extract maximum power; unity power factor sinusoidal AC smart-grid inverter currents and constant DC link voltages suited for telecom equipment; and inverter bidirectional power transfer. Experimental results are obtained from a lab set-up controlled by one low- cost dsPIC. Results show the controllers guarantee maximum power transfer to the telecom equipment/AC grid, ensuring steady DC link voltage while absorbing/injecting low harmonic distortion current into the smart-grid. A modification of the backstepping control has been also proposed, an adaptive backstepping controller. This non-linear control also tracks the maximum power point regulating the buck-boost converter input voltage regardless of the parameter values of the DC/DC converter. Apart from the proposed algorithms, other MPPT algorithms have been implemented in order to compare the results of different techniques. A neuro-fuzzy system with fuzzy logic MPPT control is designed and then it is compared with the P&O algorithm, the PI control and the proposed backstepping control. Finally, the research work about the PV system control under partial shading conditions using artificial vision with backstepping control is sent to a paper, being in revision at this moment. Additional system performance related with power quality has been proposed. A PV active power line conditioner is designed to transfer the maximum power to the electrical network and to compensate the reactive power and the non-linear loads. Besides, the use of switching output reactances is proposed to improve the compensation of a shunt active power filter. Finally, two power indexes have been tested in a distributed network, the Load Characterization Index (LCI) that identifies linear and non-linear loads in the power systems and the Unbalance Current Ratio (UCR) that assigns the responsibility for system unbalance to load and source sides.
publishDate 2016
dc.date.none.fl_str_mv 2016
2016-01-01
2016
2016-01-01
dc.type.none.fl_str_mv doctoral thesis
http://purl.org/coar/resource_type/c_db06
dc.type.openaire.fl_str_mv info:eu-repo/semantics/doctoralThesis
format doctoralThesis
dc.identifier.none.fl_str_mv http://hdl.handle.net/10272/12974
url http://hdl.handle.net/10272/12974
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Atribución-NoComercial-SinDerivadas 3.0 España
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Atribución-NoComercial-SinDerivadas 3.0 España
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidad de Huelva
publisher.none.fl_str_mv Universidad de Huelva
dc.source.none.fl_str_mv reponame:Arias Montano. Repositorio Institucional de la Universidad de Huelva
instname:Universidad de Huelva (UHU)
instname_str Universidad de Huelva (UHU)
reponame_str Arias Montano. Repositorio Institucional de la Universidad de Huelva
collection Arias Montano. Repositorio Institucional de la Universidad de Huelva
repository.name.fl_str_mv
repository.mail.fl_str_mv
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spelling Design of a non-linear contro ller to track de maximum power point of photovoltaic systems in electrical power systems with distributed generationDelgado Martín, AránzazuSistemas fotovoltaicosConvertidores eléctricos -- ControlBackstepping controlPV systemBuck-boost converterMPPT algorithmDC/AC converterControl backsteppingSistemafotovoltaicoConvertidor buck-boostAlgoritmo MPPTConvertidor DC/ACThis Doctoral thesis work is focused on the non-linear backstepping control of a buck-boost power converter and DC/AC power converter to track the maximum power point in PV systems and transfer the power to the electrical network. First, a backstepping control has been implemented to regulate the PV array output voltage in simulation to achieve the maximum power point. Forthat, a grid-connected PV system that consists of a PV array, a buck-boost converter, a DC/AC converter and a load has been modeled in Matlab-Simulink. Then, the designed backstepping controller is implemented in the system. The backstepping control is based on Lyapunov functions guaranteeing the locally stability of the system. This control is robust and tests have been carried out to validate its performance. Once the proposed control is verified in simulation, the method has been proved in an experimental platform. In this case, the experimental platform consists of a commercial PV module, a built buck-boost converter and a DC load to test the backstepping controller in the DC/DC converter. The experiments carried out validate the performance of the proposed control. The voltage that provides the maximum power point is always achieved under changeable environmental conditions, testing the robustness of the control. Finally, the non-linear backstepping controller is proposed to control the DC/AC power converter in an experimental platform, including the connection to the grid. Thus, backstepping controllers are obtained for distributed hybrid photovoltaic (PV) power supplies of telecommunication equipment. The grid-connected PV system contains the PV array, the built DC-DC buck-boost converters linked to single-phase inverters and telecom equipment as loads. The backstepping approach is robust and able to cope with the grid non-linearity and uncertainties, providing DC input current and voltage controllers for the buck-boost converter to track the PV panel maximum power point, regulating the PV output DC voltage to extract maximum power; unity power factor sinusoidal AC smart-grid inverter currents and constant DC link voltages suited for telecom equipment; and inverter bidirectional power transfer. Experimental results are obtained from a lab set-up controlled by one low- cost dsPIC. Results show the controllers guarantee maximum power transfer to the telecom equipment/AC grid, ensuring steady DC link voltage while absorbing/injecting low harmonic distortion current into the smart-grid. A modification of the backstepping control has been also proposed, an adaptive backstepping controller. This non-linear control also tracks the maximum power point regulating the buck-boost converter input voltage regardless of the parameter values of the DC/DC converter. Apart from the proposed algorithms, other MPPT algorithms have been implemented in order to compare the results of different techniques. A neuro-fuzzy system with fuzzy logic MPPT control is designed and then it is compared with the P&O algorithm, the PI control and the proposed backstepping control. Finally, the research work about the PV system control under partial shading conditions using artificial vision with backstepping control is sent to a paper, being in revision at this moment. Additional system performance related with power quality has been proposed. A PV active power line conditioner is designed to transfer the maximum power to the electrical network and to compensate the reactive power and the non-linear loads. Besides, the use of switching output reactances is proposed to improve the compensation of a shunt active power filter. Finally, two power indexes have been tested in a distributed network, the Load Characterization Index (LCI) that identifies linear and non-linear loads in the power systems and the Unbalance Current Ratio (UCR) that assigns the responsibility for system unbalance to load and source sides.Esta tesis doctoral se centra en el diseño de un control no lineal backstepping para controlar un convertidor buck-boost y un inversor para realizar el seguimiento del punto de máxima potencia (MPP) en sistemas FV y transferir potencia a la red. Se ha implementado un controlador backstepping para regular la tensión de salida de un array FV en simulación para conseguir el MPP. Se ha simulado en Matlab-Simulink un sistema FV conectado a red que está formado por un array FV, un convertidor buck-boost, un inversor y una carga. El controlador diseñado ha sido implementado también. Este control está basado en el uso de funciones de Lyapunov para garantizar la estabilidad local del sistema. El control backstepping es robusto y los experimentos llevados a cabo validan su funcionamiento. Una vez verificado el control en simulación, el método ha sido validado en una plataforma experimental. La plataforma experimental desarrollada está compuesta por un módulo FV comercial, un convertidor buck-boost construido y una carga para comprobar el funcionamiento del backstepping en el convertidor DC/DC. Los experimentos llevados a cabo validan la eficiencia del control propuesto. La tensión que suministra el punto de máxima potencia se alcanza siempre incluso con condiciones ambientales cambiantes, comprobando así la robustez del control. Finalmente, se ha propuesto el diseño de un controlador backstepping para controlar el convertidor DC/AC en una plataforma experimental incluyendo la conexión a red. Los controladores backstepping suministran potencia FV en distribuciones híbridas para equipos de telecomunicación. El sistema FV conectado a red contiene un array FV, el buck-boost construido, inversores monofásicos y equipos de telecomunicaciones como cargas. El método backstepping es robusto y capaz de enfrentarse a las no linealidades e incertidumbres de la red eléctrica, suministrando los controladores la tensión e intensidad DC requerida para que el buck-boost siga el MPP del array FV, regulando la tensión de salida de los módulos para extraer la máxima potencia. Además, los controladores consiguen que las intensidades AC del inversor sean sinusoidales con factor de potencia unitario y una tensión de entrada al inversor constante apropiada para el suministro de equipos de telecomunicaciones. Este control logra que la transferencia de potencia por el convertidor DC/AC sea bidireccional, puestrabaja como inversor o como rectificador. Los resultados experimentales se han logrado implementando los controladores en un microcontroladorlow-cost. Los resultados muestran que el control garantiza la máxima transferencia de potencia al equipo de telecomunicación o a la red eléctrica, asegurando una tensión constante a la entrada del inversor mientras que absorbe o inyecta una intensidad con baja distorsión armónica a la smart-grid. Como trabajo adicional, se ha propuesto un control backstepping adaptativo. El control también sigue el MPP, regulando la tensión de entrada del convertidor buck-boost sin importar los valores de los parámetros del convertidor. Otros algoritmos MPPT se han usado. Un sistema neuro-fuzzy con un control difuso se ha diseñado para compararlo con el P&O, con el control PI y con el control backsteppingpropuesto. Se ha propuesto un control basado en visión artificial con backstepping para detectar sombras para los sistemas FV con sombreado parcial. Se han propuesto otras prestaciones relacionadas con la calidad de potencia. Se ha diseñado un acondicionador activo FV para transferir la máxima potencia a la red, compensar potencia reactiva y cargas no lineales. Además, se propone usar una reactancia conmutable para mejorar el seguimiento de los filtros activos. Se han probado dos índices de calidad en una red distribuida, el Load Characterizationlndex que identifica las cargas lineales y no lineales en sistemas de potencia y ei UnbalanceCurrent Ratio que asigna la responsabilidad del desequilibrio del sistema a la fuente o a la carga.Universidad de HuelvaRodríguez Vázquez, JesúsUniversidad de Huelva. Departamento de Ingeniería Eléctrica y Térmica20162016-01-0120162016-01-01doctoral thesishttp://purl.org/coar/resource_type/c_db06info:eu-repo/semantics/doctoralThesisapplication/pdfhttp://hdl.handle.net/10272/12974reponame:Arias Montano. Repositorio Institucional de la Universidad de Huelvainstname:Universidad de Huelva (UHU)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Atribución-NoComercial-SinDerivadas 3.0 Españahttp://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:ariasmontano.uhu.es:10272/129742026-06-02T14:58:11Z
score 15,811543

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