Analysis of the solution for the economic load dispatch by different mathematical methods and genetic algorithms: Case Study
Item
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Tipo do ITEM
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Artigo Ciêntifico
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Título do Artigo
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Analysis of the solution for the economic load dispatch by different mathematical methods and genetic algorithms: Case Study
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Descrição
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The optimization of Economic Load Dispatch (ELD) is one of the most important tasks in Power
Plants (PP). The paper objective is to analyze a new application of the computational optimization
technique by Genetic Algorithms including Turning Off the motors with greatest losses. The
incremental cost of fuel is used to determine the best parameters of active power of each ith
generator unit, ensuring that the demand and total losses are equal to the total generated power but
minimizing the total cost of fuel. Materials and methods have been developed to solve the economic
load dispatch, among them: lambda iteration, gradient method, Newton and so others. The results
found for this case study, with the new application of Optimization by Genetic Algorithms were
outstanding having a reduction of 19,88% in the total fuel cost, comparing to classical methods that
distribute the generation of energy among all motors, including the least efficient ones. This method
helps the expert in the decision making of preventive maintenance of machines that are not being
used in the moment of multi-objective optimization, improving not only the efficiency of motors but
also of the power plant generation planning.
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Abstract
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The optimization of Economic Load Dispatch (ELD) is one of the most important tasks in Power
Plants (PP). The paper objective is to analyze a new application of the computational optimization
technique by Genetic Algorithms including Turning Off the motors with greatest losses. The
incremental cost of fuel is used to determine the best parameters of active power of each ith
generator unit, ensuring that the demand and total losses are equal to the total generated power but
minimizing the total cost of fuel. Materials and methods have been developed to solve the economic
load dispatch, among them: lambda iteration, gradient method, Newton and so others. The results
found for this case study, with the new application of Optimization by Genetic Algorithms were
outstanding having a reduction of 19,88% in the total fuel cost, comparing to classical methods that
distribute the generation of energy among all motors, including the least efficient ones. This method
helps the expert in the decision making of preventive maintenance of machines that are not being
used in the moment of multi-objective optimization, improving not only the efficiency of motors but
also of the power plant generation planning.
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Língua do arquivo
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inglês
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Data da Publicação
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Ano 2018
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Palavra-chave
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Genetic Algorithms
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Load Economic Dispatch
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Mathematical methods
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Power plants
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Autores
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Manoel Henrique Reis Nascimento
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Jorge de Almeida Brito Junior
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Carlos Alberto Oliveira de Freitas
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Nadime Mustafa Moraes
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Jandecy Cabral Leite
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Local
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ITEGAM - Manaus, 2018
