The importance of power in society is indisputable. Virtually all economic activities depend on electricity. The electric power systems are complex, and move studies in different areas are motivated to make them more efficient and solve their operational problems. The smart grids emerged from this approach and aimed to improve the current systems and integrate electric power using alternative and renewable sources. Restoration techniques of these networks are being developed to reduce the impacts caused by the usual power supply interruptions due to failures in the distribution networks. This paper presents the development and evaluation of the performance of a multi-objective version of the Bacterial Foraging Optimization Algorithm for finding the minor handling switches that maximize the number of buses served, keeping the configuration radial system and within the limits of current in the conductors and bus voltage. An electrical system model was created, and routines were implemented for the network verification, which was used as a function of the Multi-Objective Bacterial Foraging Optimization Hybrid Algorithm. The proposed method has been applied in two distribution systems with 70 buses and 201 buses, respectively, and the algorithm’s effectiveness to solve the restoration problem is discussed.
This article proposes a comparative analysis between public and regulatory policies for implementing microgeneration and mini generation in Brazilian and German markets. The research was developed based on scientific texts and legal orders. Distributed microgeneration and mini generation are becoming a reality in Brazil. The current regulatory framework for distributed generation, effective from January 2022, promises to update the legislation and promote renewable energy. Since Brazilian legislation is still in its infancy, it is essential to compare it with other places where laws and regulations have already undergone several changes so we can learn from its mistakes and successes.
Plataformas didáticas constituem alternativas práticas na aprendizagem de disciplinas teóricas. A utilização e divulgação destas plataformas contribuem também para o estímulo do desenvolvimento de habilidades fundamentais nos estudantes, uma vez que elas conseguem integralizar diversas disciplinas e campos do conhecimento. Este trabalho tem como objetivo desenvolver uma plataforma virtual de controle de nível por meio de uma modelagem no software MATLAB para o ensino no Curso Técnico Integrado ao Médio em Automação Industrial do Instituto Federal Fluminense (IFF). Além dos conceitos relacionados à disciplina de Controle de Processos Industriais, a plataforma também engloba conhecimentos relacionados às disciplinas de Instrumentação e de Sistemas Supervisórios, servindo como uma possibilidade de Projeto Integrador Final. Os resultados demonstram que a ferramenta conseguiu simular com sucesso uma situação real existente na indústria, fazendo com que o aluno possa estar mais preparado ao encontrar possíveis situações semelhantes em seu futuro profissional.
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