Ingeniería en Electrónica y Telecomunicaciones-Pregrado

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Browsing Ingeniería en Electrónica y Telecomunicaciones-Pregrado by Subject "Algoritmo"

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    Control de frecuencia mediante gestión de demanda durante el proceso de carga lenta en vehículos eléctricos
    (Universidad de Cuenca, 2020-06-15) Maldonado Pineda, Erika Lisbeth; Gonzalez Morales, Luis Gerardo
    Around the world, Climate Change has driven a growing trend in the use of renewable energies. Within the set of initiatives to reduce carbon emissions, the use of electric vehicles plays an important role, because they can deliver zero emission of polluting gases and they promote the development of renewable energy sources which are necessary to recharge their batteries. Ecuador, due to its geographical characteristics and specially by its water resources, has a capacity to generate enough electricity to cover the country’s current demand, therefore this is a convenient region to support the introduction of EVs. Although the use of electric vehicles brings great advantages in terms of reducing environmental impacts, it is necessary to take into account the potential problems that their mass introduction will cause in the country’s electricity grid, where an expected result would be the high demand for power consumption during peak hours. Thus, next work focuses on the analysis and development of a primary frequency regulation algorithm during the slow charging process of electric vehicles. The proposed algorithm aims to help reduce the generation/demand difference which would allow maintaining the quality of the electricity grid within the ranges established by the CONELEC. The slow charging station used for this work operates with a maximum power of 4.8kW, but is possible to reduce it according of the grid’s features and the vehicule which is charging at the same time, such as reductions in the frequency due to overloads in the grid. At this point is where the primary frequency control comes into play,in this research the frequency measurement algorithm known as Fast Fourier Transform is used, which was implemented in an Arduino Due and whose response allows modifying the load reference sent to the electric vehicle. Experimental tests for this thesis were carried out in the Balzay Micro grid Laboratory of the University of Cuenca, which has the necessary equipment for its development. The implementation of the algorithm exhibit positive results, since the decrease in power consumption of the electric vehicle took place within the established ranges, where for every 0.3 Hz reduced in the frequency of electricity grid, power consumption of the electric vehicle was reduced 12.5 %. In addition, the response time that the algorithm requires to reduce the power consumption was measured, which is 10 seconds and this is within the operating range of the primary frequency control
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    Implementación de un sistema autónomo rastreador de transmisiones no deseadas de bajo coste basado en RTL-SDR
    (Universidad de Cuenca, 2022-09-09) García Monrroy, Geovanny Xavier; Araujo Pacheco, Alcides Fabián
    This graduate degree thesis pertains to the development of an algorithm that scans radio wave spectra within the FM Radio (88 MHz -108 MHz) and TV (UHF, VHF) bandwidths, with the use of software defined radio, specifically using a RTL-SDR Blog V3 device. The data are processed in Python with the use of the Pandas and Numpy Python libraries. These elements together constitute the infrastructure that processes and analyzes the data with the goal of discerning between legal and illegal radio transmissions. Necessary for this process was the use of statistical operators such as correlation as well as signal comparators like the root mean square error, to serve as metrics of the similarity between a scanned signal and a reference signal. All this information is presented through a web browser interface by way of a web interface programmed in Python, HTML and CSS. Within the web interface a user first needs to create an account. Once logged in, the user then selects the scanning bandwidth (FM or TV) in which the system will detect any undesired signals. The web application runs on a Raspberry Pi 3 which acts as the web server. This server then initiates the scanning and data processing commands, as well as connect to a Google Cloud Storage database in order to store any alerts of illegal radio transmissions in the cloud.