A successful parallel implementation of NSGA-II on GPU for the energy dispatch problem on hydroelectric power plants

Lucas Braga De Oliveira; Carolina G. Marcelino; Anolan Milanes; Paulo E.M. Almeida; Leonel M. Carvalho

doi:10.1109/CEC.2016.7744337

A successful parallel implementation of NSGA-II on GPU for the energy dispatch problem on hydroelectric power plants

Lucas Braga De Oliveira, Carolina G. Marcelino, Anolan Milanes, Paulo E.M. Almeida, Leonel M. Carvalho

Resultado de pesquisa › revisão de pares

6 Citações (Scopus)

Resumo

Nowadays, hydraulic sources are responsible for most of the Brazil's energy production. Hydroelectric power plants (HPP) operators in Brazil usually distribute equally the total power required among the generator units available in the plant. However, studies show that this configuration does not guarantee that each generator unit operate close to its optimal operation point. The energy dispatch optimization problem consists in determining which generation units need to be on or off and what is their respective power-set, so that both the overall HPP costs is minimized and the power required by the plant is met. This paper presents a GPU-based parallel implementation of NSGA-II, to solve the energy dispatch problem of a HPP complaying with the real time restrictions posed by the operation of a real HPP from the reception of the power demand to the energy dispatch. Our implementation obtains better solutions than the sequential implementation currently available.

Idioma original	Inglês
Título da publicação do anfitrião	2016 IEEE Congress on Evolutionary Computation, CEC 2016
Editora	Institute of Electrical and Electronics Engineers Inc.
Páginas	4305-4312
Número de páginas	8
ISBN (eletrónico)	9781509006229
DOIs	https://doi.org/10.1109/CEC.2016.7744337
Estado da publicação	Publicadas - 14 nov. 2016
Publicado externamente	Sim
Evento	2016 IEEE Congress on Evolutionary Computation, CEC 2016 - Vancouver Duração: 24 jul. 2016 → 29 jul. 2016

Série de publicação

Nome	2016 IEEE Congress on Evolutionary Computation, CEC 2016

Conferência

Conferência	2016 IEEE Congress on Evolutionary Computation, CEC 2016
País/Território	Canada
Cidade	Vancouver
Período	24/07/16 → 29/07/16

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Publisher Copyright:
© 2016 IEEE.

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Este resultado contribui para o(s) seguinte(s) Objetivo(s) de Desenvolvimento Sustentável

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10.1109/CEC.2016.7744337

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De Oliveira, L. B., Marcelino, C. G., Milanes, A., Almeida, P. E. M., & Carvalho, L. M. (2016). A successful parallel implementation of NSGA-II on GPU for the energy dispatch problem on hydroelectric power plants. Em 2016 IEEE Congress on Evolutionary Computation, CEC 2016 (pp. 4305-4312). Artigo 7744337 (2016 IEEE Congress on Evolutionary Computation, CEC 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CEC.2016.7744337

De Oliveira, Lucas Braga ; Marcelino, Carolina G. ; Milanes, Anolan et al. / A successful parallel implementation of NSGA-II on GPU for the energy dispatch problem on hydroelectric power plants. 2016 IEEE Congress on Evolutionary Computation, CEC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 4305-4312 (2016 IEEE Congress on Evolutionary Computation, CEC 2016).

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title = "A successful parallel implementation of NSGA-II on GPU for the energy dispatch problem on hydroelectric power plants",

abstract = "Nowadays, hydraulic sources are responsible for most of the Brazil's energy production. Hydroelectric power plants (HPP) operators in Brazil usually distribute equally the total power required among the generator units available in the plant. However, studies show that this configuration does not guarantee that each generator unit operate close to its optimal operation point. The energy dispatch optimization problem consists in determining which generation units need to be on or off and what is their respective power-set, so that both the overall HPP costs is minimized and the power required by the plant is met. This paper presents a GPU-based parallel implementation of NSGA-II, to solve the energy dispatch problem of a HPP complaying with the real time restrictions posed by the operation of a real HPP from the reception of the power demand to the energy dispatch. Our implementation obtains better solutions than the sequential implementation currently available.",

author = "{De Oliveira}, {Lucas Braga} and Marcelino, {Carolina G.} and Anolan Milanes and Almeida, {Paulo E.M.} and Carvalho, {Leonel M.}",

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De Oliveira, LB, Marcelino, CG, Milanes, A, Almeida, PEM & Carvalho, LM 2016, A successful parallel implementation of NSGA-II on GPU for the energy dispatch problem on hydroelectric power plants. em 2016 IEEE Congress on Evolutionary Computation, CEC 2016., 7744337, 2016 IEEE Congress on Evolutionary Computation, CEC 2016, Institute of Electrical and Electronics Engineers Inc., pp. 4305-4312, 2016 IEEE Congress on Evolutionary Computation, CEC 2016, Vancouver, Canada, 24/07/16. https://doi.org/10.1109/CEC.2016.7744337

A successful parallel implementation of NSGA-II on GPU for the energy dispatch problem on hydroelectric power plants. / De Oliveira, Lucas Braga; Marcelino, Carolina G.; Milanes, Anolan et al.
2016 IEEE Congress on Evolutionary Computation, CEC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 4305-4312 7744337 (2016 IEEE Congress on Evolutionary Computation, CEC 2016).

Resultado de pesquisa › revisão de pares

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T1 - A successful parallel implementation of NSGA-II on GPU for the energy dispatch problem on hydroelectric power plants

AU - De Oliveira, Lucas Braga

AU - Marcelino, Carolina G.

AU - Milanes, Anolan

AU - Almeida, Paulo E.M.

AU - Carvalho, Leonel M.

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AB - Nowadays, hydraulic sources are responsible for most of the Brazil's energy production. Hydroelectric power plants (HPP) operators in Brazil usually distribute equally the total power required among the generator units available in the plant. However, studies show that this configuration does not guarantee that each generator unit operate close to its optimal operation point. The energy dispatch optimization problem consists in determining which generation units need to be on or off and what is their respective power-set, so that both the overall HPP costs is minimized and the power required by the plant is met. This paper presents a GPU-based parallel implementation of NSGA-II, to solve the energy dispatch problem of a HPP complaying with the real time restrictions posed by the operation of a real HPP from the reception of the power demand to the energy dispatch. Our implementation obtains better solutions than the sequential implementation currently available.

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De Oliveira LB, Marcelino CG, Milanes A, Almeida PEM, Carvalho LM. A successful parallel implementation of NSGA-II on GPU for the energy dispatch problem on hydroelectric power plants. Em 2016 IEEE Congress on Evolutionary Computation, CEC 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 4305-4312. 7744337. (2016 IEEE Congress on Evolutionary Computation, CEC 2016). doi: 10.1109/CEC.2016.7744337

A successful parallel implementation of NSGA-II on GPU for the energy dispatch problem on hydroelectric power plants

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