Navegando por Assunto "Economic environmental dispatch"

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Acesso aberto (Open Access)
Uma nova solução para a otimização do despacho econômico e ambiental utilizando metaheurísticas da computação bio-inspirada
(Universidade Federal do Pará, 2016) NASCIMENTO, Manoel Henrique Reis; NUNES, Marcus Vinícius Alves; http://lattes.cnpq.br/9533143193581447
Due to the significant industrial growth in the North of Brazil, especially at the Industrial Pole of Manaus (PIM), it has been an increased necessity for energy generation, which in this region is provided by thermoelectric plants (UTEs) in over 90% of its total. Thus, it became necessary the use of computational tools that help the specialists or operators of electrical systems, for making decisions about the optimal power dispatch of each generating unit that contemplate not only to reduce costs but also reduce the atmospheric pollution levels. Optimization of Economic Dispatch (ED) is one of the oldest and most important tasks in power plant management, and currently, due to growing concerns about the environment, this problem is extended to the optimization of the Economic and Environmental Dispatch (EAD). This thesis has as main objective to analyze a new proposal to solve the old optimization problem of ED and the EAD implemented by several Deterministic methods (Iteration Lambda, Quadratic Programming and Newton method) and Heuristic methods (Genetic Algorithms, Particle Swarm, Differential evolution, Simulated Annealing, Optimization by Grey Wolf and Artificial Bee Colonies) for the ED problem. Non-dominated Sorting Genetic Algorithms (NSGA II and NSGA III), were used for evaluating the problem of EAD, considering the shutdown of the generators with higher losses and thus reducing the fuel cost. The method of incremental cost and transmission losses are used to determine the best active power values for each generating unit. It was ensured the energy balance between the total generated power, the demand of the electrical system, losses and minimizing, on the other hand, the total cost of fuel, reducing emissions, and further improving efficiency not only for generators but also to UTE as a whole. Consequently, the proposed new solution has the following contributions: contemplates the turning off generation systems that have higher fuel cost, reducing the overall costs and enabling predictive maintenance on these machines. This approach also determines optimal solutions for the power output in various scenarios characteristic and not characteristic of UTEs or power plants, considering changes in active power generation and reducing greenhouse gas emissions as NOx and CO2. To explore the feasibility of the new solution proposed by this theory, it was used as a test system a set of ten (10) generating units for the case study and three sets of generators´ parameters described in the literature. They were used for demonstrating the robustness of the proposed solution considering the use of various deterministic and Bioinspired computing methods for mono-objective and multi-objective optimization. The results presented here, from an analysis of several practical examples show the advantages of the new proposed solution.
Acesso aberto (Open Access)
Solução para o despacho econômico ambiental de um sistema de geração térmica por recozimento simulado
(Universidade Federal do Pará, 2018-02-27) BRITO JÚNIOR, Jorge de Almeida; NUNES, Marcus Vinícius Alves; http://lattes.cnpq.br/9533143193581447
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.