Ferramenta para a análise do consumo ótimo em redes de distribuição de energia elétrica e da eficiência de seu faturamento

Abstract

With the increase in the number of renewable energy generators and energy commercialization, there is a disruptive trend in the current model of energy management in the Brazilian electricity sector. The electric energy in Brazil was previously acquired exclusively from state-owned generators and passed on to consumers through their distributors, however, now it can be traded between self-producers, independent producers, generators, traders, free consumers and special consumers in the Brazilian free energy market. Status Quo provides a focus for distributors activities on the maintenance, operation and development of distribution networks, in addition to an environment for the pluralized commercialization of electric energy. This commercial scenario drives the economy in the Brazilian electricity sector through the provision of new services such as personalized management of consumption and production of electricity for consumers. In this context, the acquisition of electrical energy encouraged as a source for the consumption of energy needs, the climate goals established in Brazil’s Nationally Determined Contribution (NDC) to the Treaty of Paris, as well as the adoption of strategies for the conscious consumption of energy, justify the development of instruments for a greater consumption of electric energy, obtaining the maximum efficiency of income to large consumers. To subsidize such changes and maximize their benefits, advanced levels of automation emerge, supporting the performance management of electrical distribution networks with greater capacity to support the operation and real-time supervision of consumer units. In this context, the aim of this work is the development of the scientific base needed for the implementation of technological solutions directed to the management problem of energy resources of the consumer units fed by Brazilian distributors. In this context, the methodology for developing computational intelligence for the applications proposed in this work consists of establishing a set of strategies for analyzing the energy consumption of a unit. These strategies are based on consumption data collected [kW] in a given period of time. Finally, the results obtained from carrying out the analyzes on three consumption profiles and the tariff scenario in which they are inserted are presented.