Ciencias Exactas y Ciencias de la Salud
Permanent URI for this collectionhttps://hdl.handle.net/11285/551039
Pertenecen a esta colección Tesis y Trabajos de grado de las Maestrías correspondientes a las Escuelas de Ingeniería y Ciencias así como a Medicina y Ciencias de la Salud.
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- Data-Driven approach to topology change location in distribution networks using microPMUs(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2018-05-24) Salas Esquivel, Ernesto Adán; Mayo Maldonado, Jonathan Carlos; Valdez Resendiz, Jesús Elías; Micheloud Vernackt, Osvaldo MiguelMotivated by the aim to increase the renewable energy penetration into the grid, the Mexican government established the objective of producing the half of its energy from clean sources by 2050. This is also a tendency in the rest of the world, but utilities are not yet prepared to deal with the challenges that the proliferation of this change will bring. A way to solve such issues is by evolving from the antiquated power system model to a smart grid, by building a control and communications infrastructure, and by introducing sensing and metering technologies. In this sense, micro-phasor measurement units (μPMU) are devices tailored for such purpose; but this technology requires specializing research in order to develop tools for its applications on field. Driven by this urgency, we established the objective of building an application based on the μPMU technology. Therefore, in this thesis we propose an algorithm to topology change location in distribution networks using μPMU data; based on a behavioral system theory in which we use any set of variables that are available for measurement within a network. Such approach differentiates from classic methods, since it does not require any information about the network model, and it does not assume any particular character of disturbance to locate the occurrence within the network. MATLAB simulations and experimentation using μPMUs and a DSpace Data Acquisition Card were implemented with satisfactory results, since the algorithm demonstrated to be capable to locate single topology changes in distribution networks.
- Control of an Industrial Static VAr Compensator(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2018-05-14) García Rochín, Roberto; Valdez Reséndiz, Jesús Elías; Mayo Maldonado, Jonathan Carlos; Deschamps Rascón, AlejandroStatic VAr Compensators (SVC) are power devices that can modify the reactive power in different ways, in order to compensate either reactive power or line voltages, depending on the application at hand. For instance, SVC include thyristor controlled reactors and thyristor controlled switched capacitors that can compensate reactive power produced by variable predominantly inductive/capacitive loads. Due to the increasing number of variable loads and the new regulations in the Mexican electrical grid, these devices have acquired the attention of the Power Quality firms such as Diram, S.A. de C.V. Therefore, they sponsored the industrial SVC controller development.In this thesis, it is developed a closed-loop implementation of an industrial SVC. It compensates for the reactive power under sinusoidal and balanced conditions using the quadrature currents as the feedback signal. Also, the main power theories found in literature are reviewedand it is presented a formal definition of the reactive power using an optimization problem with constrains. Then, it is used this formal definition to obtain the main AC power theories.
- Data-driven control of DC-DC power converters(Instituto Tecnológico y de Estudios Superiores de Monterrey) 861028; 861028; 861028; Frías Araya, Benjamín Alejandro; Mayo Maldonado, Jonathan Carlos; López Aguayo, Servando; School of Engineering and Sciences; School of Engineering and Sciences; Campus Monterrey; Ruíz Martínez, Omar FernandoIn this thesis we develop a data-driven approach to the control design of power convert- ers. We show that, given a set of measured data containing information about variables of interest (duty cycle as the input and inductor current/capacitor voltage as outputs) in the system, we can achieve asymptotic stability by solving a set of Lyapunov linear matrix inequalities (LMIs). This approach effectively addresses the issue of performance degradation in controllers operating over networks, i.e. feeding constant power loads (CPL) as opposed to their standalone design, i.e. with nominal resistive loads. In order to do so, we study elements of behavioral system theory such as linear difference systems and quadratic difference forms; this allows for the creation of a framework compatible with higher-order discrete systems, which guarantees asymptotic stability in power converters both in standalone operation and with increased modeling complexity when interconnected to a network. Moreover, given the fact that the aforementioned LMIs provide us with multiple stabilizing gain solutions, we develop an algorithm for the synthesis of a switching multi- controller framework which, given a family of controllers, endeavors to select the single best-performing set in order to improve the dynamic profile of a to-be-controlled system, e.g. a power converter. Simulations and experimental results are provided as proof of concept, thus validating the theoretical material and illustrating the advantages of the proposed approaches.