Browsing by Author "Martínez Freire, Luigi Orlando"

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    “Evaluación de los sistemas de control MPPT basado en un PID adaptativo frente a un controlador PWM para centrales fotovoltaicas con batería como carga”
    (Ecuador: Latacunga: Universidad Técnica de Cotopaxi: (UTC), 2024-08) Amaguaña Guaman, Alexander Vicente; Zapata Yepez, Eric Israel; Martínez Freire, Luigi Orlando
    The study compares the relative error of two control systems in photovoltaic power plants: the MPPT based on an adaptive PID and the PWM controller. The objective is to evaluate which of these systems best optimizes solar energy conversion into electricity, especially in installations that include batteries as load. Using Matlab/Simulink, both controllers were modeled and simulated to observe their behavior under different solar irradiance and climate variability conditions. The analysis focused on energy efficiency, response time, and the ability of each controller to track the maximum power point (MPP) of the photovoltaic system (PV). The results indicated that the adaptive PID-based MPPT controller outperforms PWM regarding MPP tracking accuracy and energy efficiency, adapting better to environmental fluctuations. This study suggests that adaptive PID controllers can extend battery life and improve system stability under changing conditions.
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    "Simulación del sistema eléctrico para optimizar la distribución mediante programación entera mixta y modelo cónico de segundo orden."
    (Ecuador: Latacunga: Universidad Técnica de Cotopaxi: (UTC), 2024-08) Herrera Miranda, Harry Alexander; Martínez Freire, Luigi Orlando
    In the field of optimal reconfiguration of electrical distribution systems (EDS), a literary approach has been adopted that facilitates the linearization of the models, allowing the use of second-order conical programming. This technique seeks to solve the mixed integer nonlinear problem and reduce active (PA) and reactive power (PR) losses, improving the efficiency and reliability of the system. This requires computational development due to the complexity of the model. The nonlinear reconfiguration model of the SED is based on the steady-state operating state and the equations of the disconnectors. Furthermore, it uses a mixed and convex approach to ensure an optimal solution, incorporating constraints such as power balance, voltage and current limits, and system radiality. The model equations are implemented in Python, using libraries such as Pandas, Pyomo and Matplotlib whose purpose is to handle large amounts of data, perform the modeling and resolution of the nonlinear mixed integer problem (PNLEM), and facilitate graphical visualization. This combination simplifies the development of complex models and improves efficiency and precision in obtaining optimal solutions.