Expert system for the assessment of power transformer insulation condition based on type-2 fuzzy logic systems

An efficient expert system for the power transformer condition assessment is presented in this paper. Through the application of Duval's triangle and the method of the gas ratios a first assessment of the transformer condition is obtained in the form of a dissolved gas analysis (DGA) diagnosis according IEC 60599. As a second step, a knowledge mining procedure is performed, by conducting surveys whose results are fed into a first Type-2 Fuzzy Logic System (T2-FLS), in order to initially evaluate the condition of the equipment taking only the results of dissolved gas analysis into account. The output of this first T2-FLS is used as the input of a second T2-FLS, which additionally weighs up the condition of the paper-oil system. The output of this last T2-FLS is given in terms of words easily understandable by the maintenance personnel. The proposed assessing methodology has been validated for several cases of transformers in service. © 2011 Elsevier Ltd. All rights reserved.Fil: Flores, Wilfredo C.. Universidad Nacional Autónoma de Honduras; Honduras. Universidad Nacional de San Juan; ArgentinaFil: Mombello, Enrique Esteban. Universidad Nacional de San Juan; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; ArgentinaFil: Jardini, José. A.. Universidade de Sao Paulo; BrasilFil: Rattá Gutiérrez, Giuseppe Aníbal. Universidad Nacional de San Juan; ArgentinaFil: Corvo, Antonio M.. Companhia de Transmissão de Energía Elétrica Paulista; Brasi

El sector energético de Honduras: diagnóstico y política energética

En el presente trabajo se muestra la situación actual del sector energético hondureño. Específicamente, el análisis está orientado en el sector transporte, hidrocarburos, electricidad, electrificación rural, consumo de leña, el potencial desarrollo en biocombustibles, así como una breve reseña de la situación del potencial geotérmico y biomásico. También, se muestran las iniciativas en eficiencia energética que se han implementado o que se espera implementar para hacer un racional uso de la energía eléctrica. Asimismo, se muestran los resultados obtenidos en el desarrollo de la prospectiva energética de largo plazo, en la cual se aplica el software LEAP, herramienta computacional ampliamente utilizada en el desarrollo de políticas energéticas y evaluación en la mitigación del cambio climático. Finalmente, se muestra el procedimiento que se siguió para desarrollar la política energética del país y un plan energético al 2030, que servirán al Gobierno y a la empresa privada en el desarrollo del sector energético hondureño de una manera sostenible y eficiente de largo plazo

Smart fuzzy cupper: Employing approximate reasoning to derive coffee bean quality scoring from individual attributes

© 2018 IEEE. This paper presents a fuzzy expert system, an enterprise system designed and developed under the category of software as a service (SaaS) to grade specialty coffees from several countries. The system uses approximate reasoning and inner libraries to dynamically construct fuzzy rules, making the system capable of learning as cupping data flows through it. The coffee individual attributes\u27 scores are linguistically expressed through sliders optimally designed to ease data gathering, encouraging the coffee judge to use words instead of numbers (low, medium, high and very high). Results from testing the system show more than 95% of matching results compared to the experts\u27 evaluations

Sustainable energy policy in Honduras: Diagnosis and challenges

In view of having a still unexploited potential of natural resources available for clean energy and the possibility of using the regional electricity market in Central America, Honduras has several potential energy sources. The growing dependence on oil and the imminent increase in international prices of fossil fuels, coupled with the necessity of changing the energy sector arrangement, the State of Honduras has taken the lead for the development of a long-term sustainable energy policy. This energy policy must be able to develop various energy sources and guide both, the government and the private sector, to the planning and development of alternative energy sources and sustainable growth of the Honduran economy. In this paper, the various energy diagnoses and the potential for changing the Honduran energy mix are presented, as well as the investment required for sustainable management of the energy sector. Furthermore, the objectives of the energy policy and plan up to the year 2030 are presented, outlining the investment possibilities for the energy sector development, showing their costs and timeframes.Biomass Energy prospective Energy planning

Fuzzy risk index for power transformer failures due to external short-circuits

A novel methodology to assess the risk of power transformer failures caused by external faults, such as short-circuit, taking the paper insulation condition into account, is presented. The risk index is obtained by contrasting the insulation paper condition with the probability that the transformer withstands the short-circuit current flowing along the winding during an external fault. In order to assess the risk, this probability and the value of the degree of polymerization of the insulating paper are regarded as inputs of a type-2 fuzzy logic system (T2-FLS), which computes the fuzzy risk level. A Monte Carlo simulation has been used to find the survival function of the currents flowing through the transformer winding during a single-phase or a three-phase short-circuit. The Roy Billinton Test System and a real power system have been used to test the results. (C) 2008 Elsevier B.V. All rights reserved

Impact of the Photovoltaic Integration on the Hydrothermal Dispatch on Power Systems

The amount of electricity generated by traditional power plants accompanied by the non-conventional renewable resources has increased significantly in the latest years in Honduras. This is leading to a different dispatch operation that guarantees the lowest cost, optimizing the water resource installed and operated in the Honduran power system. The purpose of this paper is to study the effect on the operation of the Honduran power system with the incorporation of photovoltaic (PV) generation and to compare the operation prior to the installation of such generation. Finally, it is proposed that the optimal hydrothermal dispatch of the system allows us to reduce the marginal costs of operation in a medium-term study horizon. To achieve this objective, in this study the operation of the electric system will be simulated using the Stochastic Dual Dynamic Programming (SDDP) software that allows us in a study horizon to estimate the function of future costs with optimal hydrothermal dispatch optimizatio

Scenario analysis of an electric power system in colombia considering the el niño phenomenon and the inclusion of renewable energies

This paper develops and analyzes four energy scenarios for Colombia that consider the El Niño phenomenon and the inclusion of renewable energies in the energy generation matrix for the period 2020–2035. A comparative analysis is presented between the results of the different scenarios proposed. The most relevant finding is the use of the reserve margin as an indicator of system reliability. A scenario which included 7214 MW of large-scale non-conventional renewable energy, 10,000 MW of distributed generation, and 12,240 MW of hydroelectric power was assumed, with a reserve margin of over 50%. Additionally, it was found that for the scenarios in which a generation capacity with non-conventional renewable energies of less than 10,000 MW in 2034 was assumed, the reserve margin of the system in the seasons of the El Niño phenomenon will be less than historical records of the system. Alternatively, it was found that the scenarios in which the inclusion of at least 9600 MW of the electric power generation capacity of non-conventional renewable energies proposed by 2034 offer benefits in the reduction in greenhouse gas (GHG) emissions, which contributes to the achievement of the emission reduction objectives of the Paris Agreement

Scenario analysis of an electric power system in colombia considering the el niño phenomenon and the inclusion of renewable energies

This paper develops and analyzes four energy scenarios for Colombia that consider the El Niño phenomenon and the inclusion of renewable energies in the energy generation matrix for the period 2020–2035. A comparative analysis is presented between the results of the different scenarios proposed. The most relevant finding is the use of the reserve margin as an indicator of system reliability. A scenario which included 7214 MW of large-scale non-conventional renewable energy, 10,000 MW of distributed generation, and 12,240 MW of hydroelectric power was assumed, with a reserve margin of over 50%. Additionally, it was found that for the scenarios in which a generation capacity with non-conventional renewable energies of less than 10,000 MW in 2034 was assumed, the reserve margin of the system in the seasons of the El Niño phenomenon will be less than historical records of the system. Alternatively, it was found that the scenarios in which the inclusion of at least 9600 MW of the electric power generation capacity of non-conventional renewable energies proposed by 2034 offer benefits in the reduction in greenhouse gas (GHG) emissions, which contributes to the achievement of the emission reduction objectives of the Paris Agreement

Scenario Analysis of an Electric Power System in Colombia Considering the El Niño Phenomenon and the Inclusion of Renewable Energies

This paper develops and analyzes four energy scenarios for Colombia that consider the El Niño phenomenon and the inclusion of renewable energies in the energy generation matrix for the period 2020–2035. A comparative analysis is presented between the results of the different scenarios proposed. The most relevant finding is the use of the reserve margin as an indicator of system reliability. A scenario which included 7214 MW of large-scale non-conventional renewable energy, 10,000 MW of distributed generation, and 12,240 MW of hydroelectric power was assumed, with a reserve margin of over 50%. Additionally, it was found that for the scenarios in which a generation capacity with non-conventional renewable energies of less than 10,000 MW in 2034 was assumed, the reserve margin of the system in the seasons of the El Niño phenomenon will be less than historical records of the system. Alternatively, it was found that the scenarios in which the inclusion of at least 9600 MW of the electric power generation capacity of non-conventional renewable energies proposed by 2034 offer benefits in the reduction in greenhouse gas (GHG) emissions, which contributes to the achievement of the emission reduction objectives of the Paris Agreement