Browsing by Autor "Gustavo Ramos"

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    Combining Digital Signal Processing, Artificial Intelligence and Graphs for Modeling Power Quality Disturbances
    (2015) Davis Montenegro; Gustavo Ramos
    This article presents the combination of digital signal processing, artificial intelligence and acyclic graphs for modeling power quality disturbances. These techniques include continuous wavelet transform, fuzzy logic and Bayesian networks. The aim with these techniques is to detect and characterize power quality disturbances. Later, by using Bayesian networks it is possible to diagnose the source of the disturbance within a previously modeled power system. These techniques are implemented into an instrument for measuring power quality disturbances. The performance of this instrument is evaluated in laboratory by injecting it power signals with known disturbances generated for representing several scenarios. The results reveal that the developed instrument can detect a wide spectrum of power quality disturbances. Additionally, this system can diagnose the cause of the disturbance to support corrective actions and infrastructure improvements over the analyzed power system.
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    ESTIMACIÓN DE LA SEGURIDAD DE LOS SISTEMAS INDUSTRIALES
    (2005) Gustavo Ramos; María Teresa de Torres; Jean Pierre Rognon
    This paper presents some results of the industrial security assessment research conducted by the Power- Energy Research Group of UNIANDES and LEG (France), focused mainly to analyze the technical and economical impact of external and internal contingency situations on the security assessment of end-users. This model considers the uncertainty of the variables involved, from probabilistic perspectives in order to obtain security indexes that allow the risk level assessment of the system in every operation condition. The security assessment is one of the most important activities in planning and operating an electric power system. This paper describes the influence of the power Quality phenomenon in the industrial power system security. Methodology is presented for obtain the security level and how improving it. The priority order in the electrical infrastructure investment considering the Power Quality problems.
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    Instantaneous p-q theory for harmonic compensation via shunt active power filter
    (2013) Alejandro Orozco Montes; Gustavo Ramos
    Non-linear loads became an important problem in now days since the implementation of new power semiconductor devices in electric power systems generating harmonic distortion in transmission systems [1,3,11]. That's the reason why solve these problems for utilities became an important task. In this paper the performance of custom power device known as pure shunt active filter, which deals with this kind of problems, is simulated and tested. At the end of testing section is proved how the total harmonic distortion of the system is reduced and adjusted to an acceptable value.
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    Modeling and Impacts of Plug-in Electric Vehicles in Residential Distribution Systems with Coordinated Charging Schemes
    (2016) Sergio Zambrano-Perilla; Gustavo Ramos; David Celeita
    This paper proposes a modeling methodology for implementation of a charging infrastructure of Plug-in Electric Vehicles (PEVs) within residential distribution systems. Using the feeder daily models, driving patterns, PEVs penetration and charging characteristics, the impact of their connection in the Power Distribution Network (PDN) is determined. In doing so, the number and distribution of PEVs in a residential distribution network are applied to the IEEE 13-node test feeder. Then, coordinated charging of the PEVs is proposed in order to minimize overloading and under-voltage events in the network, and also to perform peak load shaving through the means of load shifting, by delaying the start charging time of PEVs to off peak hours. Finally, impacts such as change in feeder demand curves, voltage deviation, overloading elements, electrical losses, and voltage unbalance, are addressed; taking into account the coordinated charging schemes proposed.
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    Modeling of operative sequences of protections in power transmission systems using Petri Nets
    (2008) José L. Sánchez; Gustavo Ramos; Mario A. Ríos
    Misoperation and hidden failures of protections in electric power systems have been recognized as a contributing factor to power system cascading outages and catastrophic events, for that reason it is important to develop new tools to study the sequence of protections operation given a contingency in the system. This article proposes a methodology for modeling the operation sequences of protections in a loop transmission system using generalized stochastic Petri nets (GSPNs), contemplating main and back-up protections, specially how they interact. With this methodology it is derived models for transmission systems of 2, 3 and 4 buses, which could extended to larger systems.
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    Optimal Sizing Method and Control Strategy of Energy Storage Systems for Large-Scale Wind Power Integration
    (2016) Diego Fernando Gómez; Mario A. Ríos; Gustavo Ramos; H. Palacios; L. A. Posada
    The incorporation of renewable energy into large-scale systems exhibits technical problems due to power fluctuations. As an alternative solution to control these fluctuations, an implementation of energy storage systems can be considered. However, an oversizing of storage capacity may cause the project to be non-viable and inefficient. To determine accurately the storage capacity, a proposal for an optimization model, based on the wind speed information in the area, is being made in order to minimize the energy required to keep at the farm’s output the desired power reference. The power reference is calculated with the segmentation method and the differential evolution technique. The control strategy of the storage system is based on the control scheme established by the Electric Power Research Institute. The proposed method, power control, and the dynamic model of energy storage system offers a tool to make studies for the connection of wind power into power systems.
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    Transmission Line Protective Relay Based on Recursive Least-Square Filters and Weights Analysis
    (2018) David Celeita; Gustavo Ramos; A. P. Sakis Meliopoulos
    The purpose of this study takes advantage of real-time hardware and software co-simulation to integrate a recursive least-square adaptive filter into a relay design for transmission line protection. The relay trip logic is controlled with a recursive least-square filter that analyzes the weights and cumulative error auto-correlation for magnitude and angles per phase. This analysis allows to detect and identify the fault type. The study focuses on the modelling of a consistent testing case study designed for transmission lines protections based on the EMTP reference model. The proposed solution could be scalable to protect other elements in power systems. It is consistent with current technological tools, and the RLS algorithm optimizes the computational performance of the relay.