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Abstract(s)
Com o intuito de responder aos desafios de sustentabilidade e autonomia energética
que ganham cada vez mais relevância, o presente trabalho teve como objetivo
desenvolver e analisar uma microrrede autónoma e eficiente para gestão e otimização
de recursos energéticos em sistemas residenciais.
A microrrede projetada visa reduzir a dependência da rede elétrica convencional,
explorando uma combinação de energia solar, armazenamento em baterias e controle
inteligente. Para esse fim, implementou-se um controlador lógico fuzzy, encarregado
de gerir dinamicamente o fluxo energético entre as fontes disponíveis e a demanda
de uma residência.
Para avaliar o desempenho da microrrede, foram conduzidos seis cenários de
simulação que replicam diferentes condições climáticas ao longo do ano. Estes cenários
foram projetados para testar a resposta do sistema em curtos e longos períodos
de tempo, analisando a capacidade de resposta do controlador face a variações de
irradiância e temperatura.
Os resultados demonstraram que a microrrede desenvolvida foi capaz de ajustar
a utilização dos recursos energéticos de forma eficiente e sustentável em todos os
cenários, minimizando a dependência da rede elétrica e maximizando a utilização da
energia solar e da bateria. Nos cenários de curta duração, a produção solar permitiu
que a bateria fosse mantida num estado de carga ideal, promovendo a autonomia
energética. Em cenários de baixa irradiância e elevada demanda, verificou-se uma
maior dependência da rede elétrica, mas o sistema foi ainda assim capaz de manter
uma gestão equilibrada.
Conclui-se que o controlador fuzzy desempenha um papel essencial na operação
da microrrede, ajustando de forma eficaz a utilização de recursos energéticos, especialmente
em períodos de produção solar reduzida. Com base nestes resultados,
a implementação de microrredes com controladores inteligentes como o controlador
fuzzy mostra-se promissora, contribuindo para a sustentabilidade e autonomia
energética em sistemas de energia renovável.
In order to respond to the challenges of sustainability and energy autonomy that are becoming increasingly relevant, the aim of this work was to develop and analyse an autonomous and efficient microgrid for managing and optimising energy resources in residential systems. The designed microgrid aims to reduce the dependence of the conventional electricity grid by exploiting a combination of solar energy, battery storage and intelligent control. To do this, a fuzzy logic controller was implemented to dynamically manage the energy flow between the available sources and the home’s demand. To assess the performance of the microgrid, six simulation scenarios were carried out that replicate different climatic conditions throughout the year. These scenarios were designed to test the system’s response over short and long periods of time, analysing the controller’s ability to respond to variations in irradiance and temperature. The results showed that the microgrid developed was able to adjust the use of energy resources efficiently and sustainably in all scenarios, minimising dependence on the electricity grid and maximising the use of solar energy and the battery. In short-term scenarios, solar production allowed the battery to be kept at an optimal state of charge, promoting energy autonomy. In scenarios of low irradiance and high demand, there was greater dependence on the electricity grid, but the system was still able to maintain balanced management. It is concluded that the fuzzy controller plays an essential role in the operation of the microgrid, effectively adjusting the use of energy resources, especially in periods of reduced solar production. Based on these results, the implementation of microgrids with intelligent controllers such as the fuzzy controller is promising, contributing to sustainability and energy autonomy in renewable energy systems.
In order to respond to the challenges of sustainability and energy autonomy that are becoming increasingly relevant, the aim of this work was to develop and analyse an autonomous and efficient microgrid for managing and optimising energy resources in residential systems. The designed microgrid aims to reduce the dependence of the conventional electricity grid by exploiting a combination of solar energy, battery storage and intelligent control. To do this, a fuzzy logic controller was implemented to dynamically manage the energy flow between the available sources and the home’s demand. To assess the performance of the microgrid, six simulation scenarios were carried out that replicate different climatic conditions throughout the year. These scenarios were designed to test the system’s response over short and long periods of time, analysing the controller’s ability to respond to variations in irradiance and temperature. The results showed that the microgrid developed was able to adjust the use of energy resources efficiently and sustainably in all scenarios, minimising dependence on the electricity grid and maximising the use of solar energy and the battery. In short-term scenarios, solar production allowed the battery to be kept at an optimal state of charge, promoting energy autonomy. In scenarios of low irradiance and high demand, there was greater dependence on the electricity grid, but the system was still able to maintain balanced management. It is concluded that the fuzzy controller plays an essential role in the operation of the microgrid, effectively adjusting the use of energy resources, especially in periods of reduced solar production. Based on these results, the implementation of microgrids with intelligent controllers such as the fuzzy controller is promising, contributing to sustainability and energy autonomy in renewable energy systems.
Description
Keywords
Microgrid Fuzzy logic controller Energy management Renewable energies Energy sustainability Microrrede Sustentabilidade energética Controlador lógico difuso Gestão de Energia Energias renováveis