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.

Browse

Filters

20181

Settings

¡Quiero depositar mi trabajo!
Advisor: search.filters.advisor.Mayo Maldonado, Jonathan CarlosDegree Level: search.filters.degreelevel.Maestro en Ingeniería Energética

Search Results

Now showing 1 - 1 of 1
  • Thumbnail Image
    Tesis de maestría
    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 Miguel
    Motivated 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.
En caso de no especificar algo distinto, estos materiales son compartidos bajo los siguientes términos: Atribución-No comercial-No derivadas CC BY-NC-ND http://www.creativecommons.mx/#licencias
logo

El usuario tiene la obligación de utilizar los servicios y contenidos proporcionados por la Universidad, en particular, los impresos y recursos electrónicos, de conformidad con la legislación vigente y los principios de buena fe y en general usos aceptados, sin contravenir con su realización el orden público, especialmente, en el caso en que, para el adecuado desempeño de su actividad, necesita reproducir, distribuir, comunicar y/o poner a disposición, fragmentos de obras impresas o susceptibles de estar en formato analógico o digital, ya sea en soporte papel o electrónico. Ley 23/2006, de 7 de julio, por la que se modifica el texto revisado de la Ley de Propiedad Intelectual, aprobado

DSpace software copyright © 2002-2025

Licencia