Operational Solution to Economic Load Dispatch (ELD) of power plants by different deterministic methods and Particle Swarm Optimization.
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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Operational Solution to Economic Load Dispatch (ELD) of power plants by different deterministic methods and Particle Swarm Optimization.
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Descrição
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Abstract—Decision-making for operational optimization
Economic Load Dispatch (ELD) is one of the most
important tasks in thermal power plants, which provides
an economic condition for power generation systems. The
aim of this paper is to analyze the application of
evolutionary computational methods to determine the best
situation of generation of the different units in a plant so
that the total cost of fuel to be minimal and at the same
time, ensuring that demand and total losses any time be
equal to the total power generated. Various traditional
methods have been developed for solving the Economic
Load Dispatch, among them: lambda iteration, the
gradient method, the Newton's method, and so others.
They allow determining the ideal combination of output
power of all generating units in order to meet the
required demand without violation of the generators
restrictions. This article presents an analysis of different
mathematical methods to solve the problem of
optimization in ELD. The results show a case study
applied in a thermal power plant with 10 generating units
considering the loss of power and its restrictions, using
MATLAB tools by developed techniques with particle
swarm algorithm.
Keywords —Particle Swarm Algorithm, Load Di
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Abstract
-
Abstract—Decision-making for operational optimization
Economic Load Dispatch (ELD) is one of the most
important tasks in thermal power plants, which provides
an economic condition for power generation systems. The
aim of this paper is to analyze the application of
evolutionary computational methods to determine the best
situation of generation of the different units in a plant so
that the total cost of fuel to be minimal and at the same
time, ensuring that demand and total losses any time be
equal to the total power generated. Various traditional
methods have been developed for solving the Economic
Load Dispatch, among them: lambda iteration, the
gradient method, the Newton's method, and so others.
They allow determining the ideal combination of output
power of all generating units in order to meet the
required demand without violation of the generators
restrictions. This article presents an analysis of different
mathematical methods to solve the problem of
optimization in ELD. The results show a case study
applied in a thermal power plant with 10 generating units
considering the loss of power and its restrictions, using
MATLAB tools by developed techniques with particle
swarm algorithm.
Keywords —Particle Swarm Algorithm, Load Di
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Língua do arquivo
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inglês
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Data da Publicação
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Ano 2019
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Palavra-chave
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Particle Swarm Algorithm
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Load Di
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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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David Barbosa de Alencar
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Bruno Reinert de Abreu
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Jandecy Cabral Leite
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Aline Santos do Nascimento
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Local
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ITEGAM - Manaus, 2019
