Ciencias Exactas y Ciencias de la Salud
Permanent URI for this collectionhttps://hdl.handle.net/11285/551014
Pertenecen a esta colección Tesis y Trabajos de grado de los Doctorados correspondientes a las Escuelas de Ingeniería y Ciencias así como a Medicina y Ciencias de la Salud.
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- DC-DC high-order converters for renewable applications(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2024-05-07) Garza Arias, Enrique; Valdez Resendiz, Jesús Elias; Rosas Caro, Julio César; Escobar Valderrama, Gerardo; Castañeda Cuevas, Herman; Escuela de Ingeniería y Ciencias; Campus Monterrey; Guillén Aparicio, DanielThis dissertation develops new theory and techniques for DC-DC power converters interfacing renewable energies, specifically for converters classified as high-order based on their mathematical model, and thus generally more complex and difficult to analyze. The thesis encompasses the development of a new circuit topology, a control design focused on high-order dynamic systems, and the study of conversion systems between renewables and the utility grid. The dynamics of high-order converters present challenges for the stability and synthesis of controllers. By studying the nonlinear model of fourth-order non-minimum phase converters through zero dynamics, it has been established that some of these can attain stability under direct voltage at high regulation, in contrast to second-order converters. Controllers have been designed to take advantage of these results in order to remove the current sensing stage while still achieving high bandwidth voltage regulation. Research has also been conducted into creating novel DC converters with a lower component size than similar circuits. From this, an improved super-boost converter has been developed that requires lower energy storage on its capacitors and inductors than the traditional boost and fourth-order boost converters, for a given specification of input current and output voltage ripples. Additionally, an inverter system for a fuel cell stack has been developed using double-dual converters in cascade to increase the voltage gain and power handling of the system. Results from tests at different power and voltage levels show that the proposed system also achieves reduced switch voltage stresses and reduced output current ripples. Simulation and experimental results were obtained in order to validate the theoretical analysis. Mathematical models, steady state values and stability conditions were calculated, and prototype designs were developed to corroborate the performance of the converters, control and efficiency.
- Enhanced maximum Power Point tracking algorithm and DC-DC converters optimal design methodology powered by the earthquake optimization algorithm(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2021-11) Méndez Flores, Efraín; MENDEZ FLORES, EFRAIN; 859994; Macías Hidalgo, Israel; puelquio, emipsanchez; Vargas Martínez, Adriana; Ponce Cruz, Pedro; Sánchez García, Juan Carlos; Soriano Avendaño, Luis Arturo; School of Engineering and Sciences; Campus Ciudad de MéxicoNowadays, owing to the growing interest in cleaner energy systems, energy harvesting from Photovoltaic (PV) sources has gained greater relevance due to their worldwide suitability. PV systems are responsible for supplying more than 500,000 [GW] of the electrical energy consumed worldwide. Therefore, different power converters topologies, control algorithms and techniques have been developed to maximize the energy harvested by PV sources. Among the research topics related to PV applications, Maximum Power Point Tracking (MPPT) methods are usually employed together with DC/DC converters to control the impedance at the output of PV arrays, which allows changing the current and voltage supplied by the PV source to achieve a dynamic optimization of the energy transferred. Classical MPPT algorithms such as, Perturb and Observe (P&O) guarantee correct tracking behavior with low calibration parameter dependence but with a compromised relationship between the settling time and steady-state oscillations. Thus, methods like Particle Swarm Optimization (PSO) based techniques have improved the settling time and the steady-state oscillations, but the performance of the PSO-MPPT is highly susceptible to a correct and precise parameter calibration, which may not always ensure the expected behavior. Therefore, this work presents a novel alternative for MPPT applications, based on the Earthquake Optimization Algorithm (EA), which contributes a solution with an easy parameters calibration and improved dynamic behavior. Hence, results show that the contributed MPPT can be easily suited to different power applications and converter topologies, where the proposed solution reduced between 12% and 36% of the energy wasted compared to the P&O and PSO-based proposals. Yet, aggressive dynamic changes may cause the metaheuristic MPPTs to get stuck in local minimum solutions due to their convergence properties, which is why this work also presents an Artificial Neural Networks (ANN) contribution as a reliable reinitialization signal for metaheuristic MPPT algorithms, whose results show that the solar irradiation changes detection through the ANN achieved over 99\% of accuracy. Still, the experimental validation of the contributed MPPT control structure requires an efficient and reliable testbed for the tests, which is why MPPTs are usually implemented through DC-DC converters. Yet, components selection and precise estimation of circuit parameters are issues that can improve the converter’s performance; which is why, metaheuristic optimization algorithms can be applied using the mathematical model of DC-DC converters in order to optimize their performance through an optimal components selection. Therefore, this work also contributes a novel optimal design methodology for DC-DC converters, where the validation designs are optimized to enable an optimal dynamic behavior regarding the validating application. Henceforth, The experimental results validate the design methodology, showing ripple improvements and operating power range extension, which are key features to have an efficient performance in DC-DC converters. Thereby, the contributions of this work were completely validated through an integration case study, which will be later addressed in this work. The technology developed through the EA contributions in this work, reached a Technology Readiness Level (TRL) 5.
- Modeling and control of emerging DC-DC topologies for renewable energy applications(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2021-06) Villarreal Hernández, Carlos Alberto; Mayo Maldonado, Jonathan C.; puelquio; Escobar Valderrama, Gerardo; Guillén Aparicio, Daniel; School of Engineering and Sciences; Campus Monterrey; Valdez Resendiz, Jesús ElíasThe main topic in this dissertation is the penetration of renewable energy into the grid, since it has been increasing considerably over the years. In this topic, it is involve the study of DC-DC and DC-AC power conversion. In this dissertation the DC-DC power conversion stage is studied in detail. Conventional DC-DC topologies are used in the industry in this DC-DC power conversion stage, however, these topologies have some limitations. For that reason, new topologies have been emerging, their characteristics represent an improvement over the limitations of conventional DC-DC topologies. Considering that, in this dissertation some of the emerging topologies, their modeling and control are studied. Moreover, it will be discuss how the interconnection of the renewable energy source is usually made, and how a stepping-up converter is incorporated into the system, and what are the main characteristics of this converter in order to have proper exploitation of the source. Also, it is considered that renewable energy sources are intermittent sources, which is undesirable since it may imply interruptions to the electrical supply, to overcome this issue, a set of controllers are proposed. Finally, not only the theoretical aspects are discussed, but also the hardware implications.