A method based on fuzzy logic for selection of contingencies in electrical energy transmission systems

Orientador: Carlos Alberto Favarin MurariDissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de ComputaçãoResumo: Nesse trabalho de pesquisa é discutida a utilização do índice de performance como método na análise estática de contingências considerando sobrecargas nas linhas de transmissão e nos transformadores. Segundo a literatura, o índice de performance de segunda ordem é mais utilizado devido ao menor esforço computacional requerido, no entanto, a utilização de tal índice resulta em um determinado tipo de erro na classificação de contingências, chamado mascaramento. Tendo em vista a minimização do mascaramento, é desenvolvido um fator de severidade para cada contingência baseado em lógica nebulosa (fuzzy logic), que pode ser utilizado tanto para multiplicar o índice de performance de segunda ordem para evitar o mascaramento, quanto como um índice para classificação de contingências, intitulado Índice Nebuloso ou Índice Fuzzy (IF). Os resultados de ambos os índices são satisfatórios apresentando uma minimização do mascaramento e capturando a maioria das contingências severasAbstract: This work is intended to discuss the use of performance index in steady state contingency analysis considering overload in transmission lines and transformers. The second order performance index is the most used due to the lowest computational effort, on the other hand, the use of this index results in a miss classification, called masking effect. In order to minimize the masking effect is developed a severity factor to each contingency based on fuzzy logic. This severity factor can be used either to multiply the second order performance index or as a index to classify the contingencies, named Fuzzy Index (IF). The results of both indexes are satisfactory, and they minimize the masking effectMestradoEnergia EletricaMestre em Engenharia Elétric

Proposal and Description of a Test System with Wind, Hydro and Fossil Fuel Power Plants for Static Analyses

This article presents and describes a 229 bus test system that includes wind, hydro and fossil fuel power plants. It represents the Northeast subsystem of the Brazilian Interconnected Power System (BIPS). The test system supplies a load of 4.17 GW, being 13% powered by wind farms, which is the current wind power penetration level of the BIPS. The data comprehends different load levels based on the typical load behavior and typical capacity factors of wind, hydro and fossil fuel plants, as well as the capacity of transmission and sub-transmission lines, transformers, and the adopted structure for the test system. The data is compiled considering models and operating scenarios of the BIPS, and allow performing studies of static voltage stability, sensitivity of voltage stability margin considering the wind farms, and multi-objective optimization considering market constraints. The results of the simulations with the test system indicate the consistency of their data structure and its applicability to different studies of electric power systems.Comment: In proceedings of the 11th Bulk Power Systems Dynamics and Control Symposium (IREP 2022), July 25-30, 2022, Banff, Canad

Day-ahead Schedule Considering the Participation of Electric Vehicles in Primary Frequency Response

The insertion of renewable sources in power systems may cause a decrease in the system's equivalent inertia, which result in the instability of the power system. On the other hand, energy storage systems have proven to be an effective tool to increase the flexibility in the operation of energy systems, which may favor integrating renewable energy sources. In this way, plug-in electric vehicle (PEVs) batteries can be used as storages when such vehicles are parked and connected to the grid. In this work, the contribution of PEVs to primary frequency response is analyzed in systems dominated by renewable sources. A day-ahead scheduling model is developed considering PEVs groups can actively participate in electricity markets, supporting day-ahead reserve capacity and providing primary frequency response. The proposed model is implemented in the distribution system of the Federal University of Amap\'a.Comment: In proceedings of the 11th Bulk Power Systems Dynamics and Control Symposium (IREP 2022), July 25-30, 2022, Banff, Canad

Analytical methods for analysis of induction generators connected to eletric power distribution systems

Orientador: Walmir de Freitas FilhoTese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de ComputaçãoResumo: Esta tese apresenta o desenvolvimento de diversos métodos analíticos para análise de geradores de indução com rotor em gaiola de esquilo conectados em redes de distribuição de energia elétrica. Foram desenvolvidas metodologias para investigar as seguintes questões técnicas: análise de estabilidade de geradores de indução frente a grandes perturbações; análise de estabilidade de geradores de indução frente a pequenas perturbações; determinação dos valores ótimos dos resistores utilizados por diferentes técnicas de energização de geradores de indução e determinação das correntes de curto-circuito fornecidas por geradores de indução durante faltas desequilibradas. Os métodos analíticos desenvolvidos foram validados por meio de comparações dos resultados obtidos através da aplicação das fórmulas propostas com aqueles obtidos através de simulações computacionais empregando-se típicos programas de análise de sistemas de potência e/ou testes experimentais. Os resultados obtidos comprovam que os métodos analíticos propostos são suficientemente precisos para avaliar o comportamento dos geradores de indução com rotor em gaiola de esquilo, reduzindo o esforço usualmente necessário na realização de análise através de simulações computacionaisAbstract: This thesis presents the development of analytical methods for analysis of squirrel-cage induction generators connected to distribution systems. It was developed analytical methods for evaluation of the following technical issues: large-disturbance stability analysis of induction generators; small-disturbance stability analysis of induction generators; determination of optimum resistances employed by energization devices of induction generators and development of formulas to determine the short-circuit currents of induction generators during unbalanced faults. The analytical methods developed were validated by comparing the results obtained by the proposed formulas with those determined by computational simulations employing typical programs of analysis of power systems and/or experimental tests. The results showed that the proposed analytical methods are enough accurate to evaluate the behavior of the squirrel-cage induction generators, reducing the usually necessary effort for analysis by computational simulationsDoutoradoEnergia EletricaDoutor em Engenharia Elétric