Solução para o despacho econômico ambiental de um sistema de geração térmica por recozimento simulado

Abstract

In recent years, population and government concerns about environmental protection have increased. At the same time, the use of fossil fuels to the production of electricity is still high, due to the high availability of this kind of energy and the consolidated technology of the thermal plants. In that context, it has become increasingly common to adopt methodologies to optimize the operation of thermoelectric plants, not only in terms of fuel costs, but also the emissions of pollutants generated, with a positive impact on the reduction of environmental pollution for electric power generation by thermal systems based on fossil fuels. This process establishes the need for research in the field of energy planning, usually based on the application of optimization methods that consider the two objectives mentioned in an integrated way. Optimization tools based on metaheuristic characteristics, such as simulated annealing, are well suited to these types of problems. In this context, the aim of this PhD thesis was to apply multiobjective optimization in the environmental economic dispatch (DEA) of thermal plants using simulated annealing, comparing the results obtained with other metaheuristic techniques. This tool was used with an aptitude function that involves two objectives (cost and emissions), to find the optimal result, taking into account the shutdown of less efficient engines, thus ensuring the reduction of financial costs and pollution.