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<title>Trabalho de Conclusão de Curso (Graduação) - Engenharia Elétrica (Escola Politécnica)</title>
<link>https://repositorio.ufba.br/handle/ri/28176</link>
<description/>
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<rdf:li rdf:resource="https://repositorio.ufba.br/handle/ri/44212"/>
<rdf:li rdf:resource="https://repositorio.ufba.br/handle/ri/42651"/>
<rdf:li rdf:resource="https://repositorio.ufba.br/handle/ri/39091"/>
<rdf:li rdf:resource="https://repositorio.ufba.br/handle/ri/34699"/>
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<dc:date>2026-04-18T01:08:34Z</dc:date>
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<item rdf:about="https://repositorio.ufba.br/handle/ri/44212">
<title>Caracterização da ocorrência de afundamentos de tensão a partir de faltas na rede básica da Bahia: uma abordagem estocástica</title>
<link>https://repositorio.ufba.br/handle/ri/44212</link>
<description>Caracterização da ocorrência de afundamentos de tensão a partir de faltas na rede básica da Bahia: uma abordagem estocástica
Mattos, Paulo Fernando Oliveira Paim de
Barbosa, Daniel
The growing technological evolution with the expanding use of Microelectronics associated with Power Electronics in various economic segments, especially the industrial field, has influenced the progressive increase in the presence of sensitive loads, which results in increasingly frequent records of intercurrences related to faults in the Electric Power System. Voltage sags (or voltage dips) stand out as one of the most frequent Short Duration Voltage Variations, representing enormous damage to the production chain and consumers in general. The application of preventive measures both in the planning and in the Electric Power System specification has been shown to be an alternative to minimize or avoid Power Quality Problems and therefore statistical prediction analyses are necessary. &#13;
	&#13;
	Given this, the present work presents a case study applied to the Basic Power Grid of Bahia (230 and 500 kV bars) using two stochastic approaches in the quantitative and qualitative estimation of the occurrence of voltage sags originated from short circuits on transmission lines: Method of Fault Positions and Monte Carlo Simulation.&#13;
	&#13;
	As observed by the results, with few simulations the Method of Fault Positions allowed the mapping of the system's vulnerability zone, while the Monte Carlo Simulation technique validated the critical area, making it possible to add randomness to the variables that influence the occurrence of the fault  (transmission line, fault position, fault type, and fault impedance), given from known probability distributions. The comparative graphs showed that when considering the fault impedance at random, the cumulative frequencies were between the two curves that represent the minimum (0 $\Omega$) and maximum (15 $\Omega$) extreme values of the number of voltage sags expected annually. In addition, the probability density functions associated with other classes of voltage values for voltage sags indicate a shift to the right (increase in the number of sags) or left (decrease in the number of defects) of the density curves, being noted in an overall, the reduction in sags with increasing fault impedance. However, the study reveals that the reduction of sags will not necessarily imply fewer severities of sags in the Electric Power System since they tend to increase the probability density in classes below 0.5 p.u.
Universidade Federal da Bahia
Trabalho de Conclusão de Curso
</description>
<dc:date>2022-12-05T00:00:00Z</dc:date>
</item>
<item rdf:about="https://repositorio.ufba.br/handle/ri/42651">
<title>Rotas de aproveitamento energético dos resíduos sólidos urbanos nas regiões de desenvolvimento sustentável do Estado da Bahia.</title>
<link>https://repositorio.ufba.br/handle/ri/42651</link>
<description>Rotas de aproveitamento energético dos resíduos sólidos urbanos nas regiões de desenvolvimento sustentável do Estado da Bahia.
Silva, Gabriel Lucas
Pereira, Osvaldo Livio Soliano
Generating electricity from municipal solid waste (MSW) is a proposal to solve &#13;
both a local (municipal) problem, which is the effectiveness of public MSW &#13;
management policies, and the global problem of greenhouse gas (GHG) emissions. &#13;
In this context, integrated solid waste management has emerged as a potential &#13;
solution to socio-environmental problems and the prospect of using waste for energy. &#13;
This work proposes a study of the potential for generating biogas from MSW to &#13;
generate electricity in the state of Bahia, using waste-to-energy (WtE) technologies &#13;
from the perspective of the Política Nacional de Resíduos Sólidos (PNRS) and the &#13;
Marco Legal do Saneamento Básico (MLSB), and the Plano Estadual de Resíduos &#13;
Sólidos, with the aim of proposing the best energy use technologies available for &#13;
Regiões de Desenvolvimento Sustentável.&#13;
The results of the electricity potential for each conversion route are shown on &#13;
heat maps for the state of Bahia and for the sustainable development regions proposed &#13;
by the Secretaria de Desenvolvimento Urbano do Estado da Bahia.
Universidade Federal da Bahia
Trabalho de Conclusão de Curso
</description>
<dc:date>2023-12-11T00:00:00Z</dc:date>
</item>
<item rdf:about="https://repositorio.ufba.br/handle/ri/39091">
<title>Aprendizado de máquina em microcontroladores utilizando TinyML: exploração, otimização e portabilidade</title>
<link>https://repositorio.ufba.br/handle/ri/39091</link>
<description>Aprendizado de máquina em microcontroladores utilizando TinyML: exploração, otimização e portabilidade
Silva, Maurício Taffarel Barreto
Farias, Paulo César Machado de Abreu
The TinyML technique refers to the set of approaches that enable the implementation&#13;
of machine learning algorithms on devices with restricted computational resources and&#13;
memory capacity, such as embedded systems. This work addressed two ways to implement&#13;
such techniques as optimizations and model compression, exploring different technologies.&#13;
Additionally, specific details related to this approach to TinyML in the development&#13;
process were presented, with an emphasis on portability and scalability. The evaluation of&#13;
the proposed solution will allow analyzing the impact and effectiveness of using TinyML&#13;
in implementing machine learning systems on microcontrollers with limited resources.
Universidade Federal da Bahia
Trabalho de Conclusão de Curso
</description>
<dc:date>2023-12-15T00:00:00Z</dc:date>
</item>
<item rdf:about="https://repositorio.ufba.br/handle/ri/34699">
<title>Estudo de caso: sistema de proteção e seletividade de turbo gerador em indústria petroquímica</title>
<link>https://repositorio.ufba.br/handle/ri/34699</link>
<description>Estudo de caso: sistema de proteção e seletividade de turbo gerador em indústria petroquímica
Silva, Raphael Conceição de Oliveira
Barbosa, Daniel
Protection systems of SEP equipment  play a key role&#13;
for network reliability and security. The study of protection and selectivity becomes&#13;
important as it defines the settings of the devices that act on the system,&#13;
which preserve the equipment in the event of faults, reduce the area&#13;
affected and maximize service continuity time. The development of new&#13;
technologies for identifying, classifying and locating occurrences is in&#13;
continuous evolution and with technologies widely diversified in the world market.&#13;
The work addresses the key aspects for synchronous generator protection projects&#13;
medium and large. In this sense, the different topologies are presented.&#13;
of protection for electric generators, their damage mechanisms and description&#13;
of action logic applied to a turbogenerator located in the petrochemical complex of&#13;
Camaçari-Ba. Finally, performance tests of the main protections are carried out with&#13;
the use of IED's from Schweitzer Engineering Laboratories to evaluate the performance of the proposed arrangement.
Universidade Federal da Bahia
Trabalho de Conclusão de Curso
</description>
<dc:date>2019-07-04T00:00:00Z</dc:date>
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