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.
Browse
Search Results
- Data-driven voltage regulation in smart grids using distribution phasor measurement units insights(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2025-06) Pacheco Cherrez, David Santiago; Escobar Valderrama, Gerardo; emipsanchez; Guillen, Daniel; Valdez Reséndiz, Jesús; Soriano Rangel, Carlos Abraham; School of Engineering and Sciences; Campus Monterrey; Mayo Maldonado, Jonathan C.The increasing penetration of distributed energy resources (DERs), particularly photovoltaic (PV) systems, is rapidly transforming distribution networks (DNs) from passive systems into active, complex environments. This shift introduces challenges related to voltage regulation, harmonic distortion, system observability, and control. The variability and unpredictability of renewable generation further intensify the need for novel strategies to ensure grid stability and efficient operation. This thesis addresses these challenges by proposing and validating advanced measurement and control techniques tailored for modern distribution networks.First, to improve network observability, a Fully Informative Distribution Phasor Measurement Unit (FI-DPMU) capable of simultaneously estimating phasor dynamics and harmonic content isintroduced. Unlike traditional D-PMUs, which discard harmonic information, the FI-DPMU provides a comprehensive view of the network’s electrical characteristics, functioning both as a synchrophasor device and a power quality analyser. The device’s effectiveness is validated through hardware-in-the-loop simulations, demonstrating compliance with the IEC/IEEE 60255-118-1 standard and superior performance under conditions of frequency variability and harmonic distortion. Its low computational requirements and compatibility with low-cost microcontrollers support wide-scale deployment in practical settings.Building on this improved monitoring, the second contribution of the thesis presents a data- driven voltage regulation approach that leverages D-PMU measurements to coordinate dis- tributed energy resources and D-STATCOMs across DN. By computing a voltage performance index in real time using only voltage and reactive power data, the proposed control algorithm effectively regulates node voltages without relying on detailed system models. This approach ensures fast, accurate, and scalable Volt/Var control even under dynamic conditions such as solar intermittency, grid faults, and topology changes. Moreover, it lays the groundwork for digital twin applications and enhances system identification capabilities. Finally, recognizing the need for localized, scalable solutions in high-DER environments, a decentralized voltage control strategy for clustered PV inverters is introduced. By organizing inverters into logical groups and applying adaptive, droop-based reactive power control at the point of common coupling, the method maintains voltage stability while prioritizing units with the largest voltage deviations. Entirely data-driven and communication-decentralized among inverters, this approach reduce coordination overhead and facilitates the integration of high PV penetration in low-voltage networks.Together, these results form a comprehensive framework for enhancing observability, stability, and control in distribution networks. By combining advanced measurement techniques with data-driven control methods, this thesis offers a robust and practical toolkit for managing the technical complexities associated with the modern power systems.
- Data-driven control of voltage source converters for AC/DC power grids(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2022-06-15) Rivera Molina, David José; RIVERA MOLINA, DAVID JOSE; 711811; Guillén Aparicio, Daniel; emijzarate, emipsanchez; Llamas Terres, Armando; Federico Viramontes, Brown; Valdez Resendiz, Jesús E.; Escuela de Ingeniería y Ciencias; Campus Monterrey; Mayo Maldonado, Jonathan C.The use of Voltage Source Converters (VSC) is gaining ground in recent yearsmdue to the many benefits it offers. A wide range of electronic devices are using thisntechnology, including systems like renewable energy sources (RES), direct current transmission, Flexible AC transmission system (FACTS), are some of which can be mentioned. The energy matrixes of the countries around the world are changing and the electrical power systems are experiencing new challenges in control, dispatch, design, etc. This thesis involves the design of a new type of controller for VSC. This new controller is based on data gathered from the simulation of multiple setpoints of operations of a model-based control used for a VSC connected to the grid. Before the design of this new data-driven control, an model-based controller is modelled and tuned according to grid parameters and dynamic characteristics. The design of the new controller starts from the data obtained from the previous simulations of the model-based controller. The data is used as input to the control design which is based on the measured variables (time-discrete data). The control design follows many particular criteria defined by the control theory and can be solved by an optimization approach in order to comply with the stability function. The new controller must meet certain parameters such as robustness, speed, stability criterion, and capturing the grid dynamic characteristics within itself. The tests to compare the performance between the data-driven controller and model-based controller consist of using three types of devices that are VSC-based. These tests include step response, voltage recovery under transient conditions due to fault and load shedding. With these comparisons, the perks and disadvantages of using the new control approach were presented and proven using a two-area, four generator electric power system.