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Nuevo método de detección y análisis en tiempo real de eventos en la tensión de suministro de energía eléctrica empleando un modelo combinado wavelets-filtro de Kalman extendidoPérez Fernández, Enrique 15 June 2006 (has links)
La tesis doctoral presenta un nuevo método de detección y análisis de eventos en la tensión de suministro de energía eléctrica que utiliza simultáneamente el análisis wavelet y un filtro de Kalman extendido actuando en paralelo sobre las muestras de la tensión. El análisis wavelet proporciona la mejor precisión en la determinación de las características temporales del evento y el filtro de Kalman extendido permite, por un lado confirmar la existencia del evento, descartando aquellas detecciones erróneas que puede producir el análisis wavelet debido a su muy alta sensibilidad, así como determinar con la mayor exactitud la magnitud y fase de la tensión durante el evento.El método desarrollado se ha implementado un tiempo real sobre un sistema DSP, de forma que se adquieren las muestras de la tensión y se analizan sus valores dentro del intervalo de muestreo, para poder detectar y analizar eventos en el menor tiempo posible y poder desarrollar estrategias de protección de los distintos equipos conectados a la red de distribución / The thesis presents a new method for detection and analysis of voltage events in power systems using wavelet analysis and an extended Kalman filter acting in parallel on the voltage samples. The wavelet analysis provides the best estimation of the time-related parameters of the voltage event and the extended Kalman filter enables, on the one hand the confirmation of the beginning and the end of the voltage event, avoiding the erroneous detections that can be produced due to the very high sensitivity of the wavelet analysis, and on the other hand, the estimation of the magnitude and phase angle of voltage supply during the event. The method proposed has been implemented in a DSP-based system, where the voltage samples are analyzed within the sampling period for real-time detection of voltage events.
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An analysis of new functionalities enabled by the second generation of smart meters in Sweden / Analys av nya funktioner möjliggjort av andra generationen smarta mätare i SverigeDrummond, Jose January 2021 (has links)
It is commonly agreed among energy experts that smart meters (SMs) are the key component that will facilitate the transition towards the smart grid. Fast-peace innovations in the smart metering infrastructure (AMI) are exposing countless benefits that network operators can obtain when they integrate SMs applications into their daily operations. Following the amendment in 2017, where the Swedish government dictated that all SMs should now include new features such as remote control, higher time resolution for the energy readings and a friendly interface for customers to access their own data; network operators in Sweden are currently replacing their SMs for a new model, also called the second generation of SMs. While the replacement of meters is in progress, many utilities like Hemab are trying to reveal which technical and financial benefits the new generation of SMs will bring to their operations. As a first step, this thesis presents the results of a series of interviews carried out with different network operators in Sweden. It is studied which functionalities have the potential to succeed in the near future, as well as those functionalities that are already being tested or fully implemeneted by some utilities in Sweden. Furthermore, this thesis analyses those obstacles and barriers that utilities encounter when trying to implement new applications using the new SMs. In a second stage, an alarm system for power interruptions and voltage-quality events (e.g., overvoltage and undervoltage) using VisionAir software and OMNIPOWER 3-phase meters is evaluated. The results from the evaluation are divided into three sections: a description of the settings and functionalities of the alarm, the outcomes from the test, and a final discussion of potential applications. This study has revealed that alarm functions, data analytics (including several methods such as load forecasting, customer segmentation and non-technical losses analysis), power quality monitoring, dynamic pricing, and load shedding have the biggest potential to succeed in Sweden in the coming years. Furthermore, it can be stated that the lack of time, prioritization of other projects in the grid and the integration of those new applications into the current system seem to be the main barrier for Swedish utilities nowadays. Regarding the alarm system, it was found that the real benefits for network operators arrive when the information coming from an alarm system is combined with a topology interface of the network and a customer notifications server. Both applications could improve customer satisfaction by significantly reducing outage time and providing customers with real-time and precise information about the problems in the grid.
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