[pt] O Objetivo dessa dissertação é propor um conjunto de indicadores e métricas para avaliar e mensurar a eficiência das subestações de um microgrid. No conceito institucional o qual a pesquisa se insere, considera-se que o esforço proporcionará a empresa em questão avaliar a eficiência e inteligência das suas subestações em seu microgrid. A pesquisa pode ser considerada aplicada, descritiva e metodológica. Quanto aos meios de investigação, foi usado o método de construção de indicadores para avaliação da eficiência energética aliada a dois métodos de apoio à decisão: AHP (Analytic Hierarchy Process) para definição dos pesos dos critérios classificatórios e a técnica TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) para hierarquização dos indicadores propostos por categoria dos requisitos de eficiência energética e inteligência, a partir dos graus atribuídos pelos especialistas. Destacam-se como resultados: a ferramenta de seleção e classificação de subestações e um conjunto consistente de indicadores de eficiência e inteligência. Como resultados, espera-se obter a melhoria da eficiência das subestações de um microgrid e poder acompanhar o processo de melhoria contínua. / [en] The aim of this study is to propose a set of indicators and metrics to evaluate and measure the efficiency and intelligence on microgrid electric substations. It was used a methodology to stablish indicators for evaluating the energy efficiency combined with two decision support methods: AHP (Analytic Hierarchy Process) for definition the importance of criteria selected, and TOPSIS (Technique for Order Preference by Similarity to Ideal of Solution) to classify the most efficiency and intelligent substation. As a result, it is expected to obtain the improvement of efficiency of power substations of a microgrid and follow the process of continuous improvement of their intelligence. Geller (2004) emphasizes the importance to adopt energy efficiency measures, through the use of alternative energy resources. The author states that the numbness in the current energy sources will result in irreparable harm to the environment, generating major climate change .It is necessary consider an innovative energy management model capable for meeting the challenges to meet the new standards of consumption, combining environmental, social and economic aspects . Smart Grids (SG) are able to incorporate information and communication technology in all aspects of generating electricity, allowing the entrance of new suppliers in the energy network, generating a better management of distribution and consumption, optimizing efficiency, minimizing costs, and diminishing environmental impacts. Currently, the SG is in development stage, with large spaces for research and development of enhancements and applications. Countries like USA, Japan and other European Community are planning to implement this novel grid till mid-2020 to 2030 Rivera (2013). In Brazil, this trend follows a different reality, due to economic crisis and regulatory aspects. In this country, most of smart grid projects are in development research and they are in slower progress status when compared to developed countries Rivera (2013). The implementation of a smart grid, with various alternatives of energy sources, provides better management and optimal use of each alternative. So, the necessity of managing the power distribution network more efficiently as possible increases Caneppele (2011). Microgrid is a concept widely disseminated in the literature. It can be defined as an intelligent electrical network applied in a smaller scale. As example we can cite: large commercial centers, a large industries; a large condominiums, a neighborhoods, etc. The aim of this article is to propose a set of indicators and metrics to evaluate and measure the efficiency and intelligence on microgrid electric substations. The methodology proposed will support mathematically the decision maker in the energy management of a huge television studio, which can be considered a microgrid. The research methodology followed a procedural structure analysis based on literature review focused on central themes of research: (i) substations (ii) energy efficiency (iii) microgrids (iv) multiple criteria decision methods (MCDM), trying to select the best methods to be considered in the context of energy efficiency of substations in microgrids. The model used in this work considered a hybrid multi-criteria decision-making (MCDM) method, putting together two methods widely used in literature: AHP (Analytic Hierarchy Process), and (TOPSIS Technique for Order Preference by Similarity to Ideal of Solution). AHP method was proposed by Saaty (2000). It is a multi-criteria support tool for decision making, which reveals the wide number of applications in current literature. Through peer comparisons, it is possible to perform the trials because the priorities calculated by the method will capture both the subjective measures, and the depth the particular criterion (or alternative) n relation to another. The second method used will be the TOPSIS. The technique is used to examine the performance of options by similarity to ideal solution. It was introduced by Hwang and Yoon Hwang (1981), in 1981, since then, it