Examinando por Materia "CONTROL PREDICTIVO"

Mostrando1 - 7 de 7
  • Ponencia en Congreso
    7-Level asymmetric multilevel current source inverter with predictive control
    (2018-01) Cossutta, Pablo; Aguirre, Miguel Pablo; Muñoz, Javier; Rivera, Marco; Melín, Pedro; Rohten, Jaime
    "In this paper a 7-Level Asymmetric Multilevel Current Source Inverter is presented. The topology considers two Current Source Inverters that follow a 1:2 ratio to generate the multilevel current waveform. A Model Predictive Control is used to track the internal current and voltage references as well as to keep the asymmetric ratio between the DC currents even during transient conditions. To properly use the predictive algorithm, the modelling equations of the presented topology are systematically obtained in continuous and discrete time domains, considering the characteristic constraints of a Current Source Inverter. Simulated dynamic tests are presented in order to prove the feasibility of the asymmetric approach and the properness of the predictive control technique."
  • Tesis de doctorado
    El convertidor multinivel fuente de corriente modular y sus aplicaciones
    (2019-05) Cossutta, Pablo; Valla, María Inés; Aguirre, Miguel Pablo
    "En esta tesis se realiza el análisis de una topología de Convertidor Multinivel Fuente de Corriente (MCSI) modular. Se analiza detalladamente el funcionamiento de la topología y se formula el marco matemático teórico necesario para el diseño, simulación y el control del convertidor. Se analiza el comportamiento de un módulo y luego se extiende el concepto a las versiones multinivel tanto simétrica, donde todos los módulos son iguales, como asimétrica, donde los módulos son de características similares pero de capacidades de corriente diferentes. Se detallan las técnicas de modulación que se utilizan en la actualidad, Modulación por Ancho de Pulso Sinusoidal (SPWM) y Modulación Vectorial (SVM). Para la modulación SPWM se propone un método simplificado para su implementación. Además, se evalúa la utilización de Control Predictivo Basado en Modelo de Conjunto Finito de Estados (FCS-MPC) para las diversas variantes del convertidor. Se presenta e implementa en una Matriz de Puertas Programables (FPGA) el balance de las corrientes internas del convertidor en su versión simétrica de 7 niveles. Se presenta además un aplicación en la cual se utiliza un MCSI como interfaz entre la red eléctrica y una celda de combustible basada en hidrógeno, validando los resultados en un modelo a escala que permite extrapolar los resultados a otros niveles de potencias. Se desarrolla e implementa un algoritmo de sincronización con la red eléctrica y una plataforma de adquisición de datos basados en una FPGA que permiten la conexión de un convertidor a la red eléctrica. Finalmente, se presentan y analizan tanto resultados de simulación como experimentales obtenidos utilizando un prototipo de laboratorio."
  • Ponencia en Congreso
    Model predictive control of a current source inverter together with its current source
    (2016-10) Cossutta, Pablo; Rivera, Marco; Valla, María Inés; Angélico Engelhardt, Mathias; Aguirre, Miguel Pablo
    "Over the past years a great amount of research has been done to interconnect different energy sources with the power grid or different types of loads. Current source inverters have proved to be a good option due to its high reliability, fault tolerant capabilities, quasi soft switching and the use of lower capacitor values among others. Most of the current source inverters topologies have a current source as input, which could be implemented with a buck converter, and they are controlled with cascaded linear control (usually PI controller), rotating frame coordinate transformation and a modulation stage. In this paper a predictive control strategy of a current source inverter together with its associated current source is presented. This strategy allows to track not only the output voltages at the load but also the current source within a single controller. The control algorithm makes use of a discrete time model of the whole system so as to predict its future behaviour for each one of the available switching combinations. Each one of the predicted values are used to minimize a set of predefined control goals within a multiple term cost function that includes cost associated with the commutation frequency and the reference tracking. Simulation results show a good behaviour and fast dynamics with a low switching frequency of all the switches involved. These characteristics make the proposed controller a suitable option to use with high power inverters."
  • Ponencia en Congreso
    Model predictive control of a multilevel current source inverter together with its current source
    (2017-08) Cossutta, Pablo; Angélico Engelhardt, Mathias; Aguirre, Miguel Pablo; Ponce, Juan; Valla, María Inés
    "In this paper, a Model Predictive Control (MPC) strategy is applied to a Multilevel Current Source Inverter (MCSI) and its associated current source. The controller uses a discrete-time model of the entire system in order to predict the future behavior for each of the available switch states. The system is composed of a multilevel inverter, a buck converter, an output filter and a load. Each of the calculated values is used to minimize a set of predefined control objectives within a multiterm cost function. It includes costs associated with the switching frequency and reference tracking. This allows to control not only the output voltages of the load, but also the current source and the balance of the internal currents of the inverter. Simulation results show a good performance and fast dynamics with a low switching frequency of all the switches involved. These features make the proposed controller a suitable option for use with high power converters."
  • Artículo de Publicación Periódica
    A non-centralized predictive control strategy for wind farm active power control: a wake-based partitioning approach
    (2020-05) Siniscalchi-Minna, Sara; Bianchi, Fernando D.; Ocampo-Martínez, Carlos; Domínguez-García, José Luis; De Schutter, Bart
    "Owing to wake effects, the power production of each turbine in a wind farm is highly coupled to the operating conditions of the other turbines. Wind farm control strategies must take into account these couplings and produce individual power commands for each turbine. In this case, centralized control approaches might be prone to failures due to the high computational burden and communication dependency. To overcome this problem, this paper proposes a non-centralized scheme based on splitting the wind farm into almost uncoupled sets of turbines by solving a mixed-integer partitioning problem. In each set of turbines, a model predictive control strategy seeks to optimize the distribution of the power set-points among turbines such that the impact of the power losses due to the wake effect is reduced. Then, a supervisory controller coordinates the generation of each group to satisfy the power demanded by the grid operator. The effectiveness of the proposed control scheme in terms of reduction of computational costs and power regulation is confirmed by simulations for a wind farm of 42 turbines."
  • Ponencia en Congreso
    Predictive control of a 27-level asymmetric multilevel current source inverter
    (2018-10) Muñoz, Javier; Soto, Bairon; Villalón, Ariel; Rivera, Marco; Cossutta, Pablo; Aguirre, Miguel Pablo
    "In this work a study of a 27-level asymmetric multilevel current source inverter is developed. The presented structure is composed by three current source inverters that together are in a 9:3:1 ratio to produce a current waveform with multiple levels. A model predictive control scheme is developed for tracking the references for the output AC voltages, and to keep the asymmetric ratio between the DC currents even during transient conditions. Furthermore, an extra control goal is included in order to reduce the commutations of the inverter, and therefore reduce the power losses. In order to apply the predictive controller, the equations of the model to be analyzed are obtained systematically for continuous and discrete time domains. Simulations are carried out to validate the proposal and the integrity of the predictive control strategy."
  • Tesis de maestría
    A robust optimization-based model predictive control of the energy management within grid-connected microgrids
    (2018) Roussineau, Eduardo Esteban; Otto, Philip
    "This master thesis presents an operational strategy for a microgrid-connected wayside energy storage device within a light rail application. This strategy is based on a mixedinteger linear program optimization formulated over a rolling horizon framework; the optimization takes into account forecasted values for renewable energy generation and electricity usage within the microgrid, as well as the prices for energy exchange with the main distribution grid. Robust optimization theory is used to create a robust counterpart formulation of the optimization problem so that the uncertainties present in forecasted values are handled."