Ce+Epso: A merged approach to solve SCOPF problem

Carolina G. Marcelino, Carlos Pedreira, Elizabeth F. Wanner, Leonel M. Carvalho, Vladimiro Miranda, Armando L. Da Silva

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This work discusses the solution of a Large-scale global optimization problem named Security Constrained Optimal Power Flow (SCOPF) using a method based on Cross Entropy (CE) and Evolutionary Particle Swarm Optimization (EPSO). The obtained solution is compared to the Entropy Enhanced Covariance Matrix Adaptation Evolution Strategy (EE-CMAES) and Shrinking Net Algorithm (SNA). Experiments show the approach reaches competitive results.

Original languageEnglish
Title of host publicationGECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion
PublisherACM
Pages69-70
Number of pages2
ISBN (Electronic)9781450367486
ISBN (Print)978-1-4503-6748-6
DOIs
Publication statusPublished - 13 Jul 2019
Event2019 Genetic and Evolutionary Computation Conference, GECCO 2019 - Prague, Czech Republic
Duration: 13 Jul 201917 Jul 2019

Publication series

NameGECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion

Conference

Conference2019 Genetic and Evolutionary Computation Conference, GECCO 2019
CountryCzech Republic
CityPrague
Period13/07/1917/07/19

Fingerprint

Optimal Power Flow
Covariance Matrix Adaptation
Cross-entropy
Large-scale Optimization
Evolutionary Optimization
Evolution Strategies
Shrinking
Global Optimization
Particle Swarm Optimization
Entropy
Optimization Problem
Global optimization
Covariance matrix
Particle swarm optimization (PSO)
Experiment
Experiments

Keywords

  • CE+EPSO
  • LSGO
  • SCOPF

Cite this

Marcelino, C. G., Pedreira, C., Wanner, E. F., Carvalho, L. M., Miranda, V., & Da Silva, A. L. (2019). Ce+Epso: A merged approach to solve SCOPF problem. In GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion (pp. 69-70). (GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion). ACM. https://doi.org/10.1145/3319619.3326768
Marcelino, Carolina G. ; Pedreira, Carlos ; Wanner, Elizabeth F. ; Carvalho, Leonel M. ; Miranda, Vladimiro ; Da Silva, Armando L. / Ce+Epso : A merged approach to solve SCOPF problem. GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion. ACM, 2019. pp. 69-70 (GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion).
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title = "Ce+Epso: A merged approach to solve SCOPF problem",
abstract = "This work discusses the solution of a Large-scale global optimization problem named Security Constrained Optimal Power Flow (SCOPF) using a method based on Cross Entropy (CE) and Evolutionary Particle Swarm Optimization (EPSO). The obtained solution is compared to the Entropy Enhanced Covariance Matrix Adaptation Evolution Strategy (EE-CMAES) and Shrinking Net Algorithm (SNA). Experiments show the approach reaches competitive results.",
keywords = "CE+EPSO, LSGO, SCOPF",
author = "Marcelino, {Carolina G.} and Carlos Pedreira and Wanner, {Elizabeth F.} and Carvalho, {Leonel M.} and Vladimiro Miranda and {Da Silva}, {Armando L.}",
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Marcelino, CG, Pedreira, C, Wanner, EF, Carvalho, LM, Miranda, V & Da Silva, AL 2019, Ce+Epso: A merged approach to solve SCOPF problem. in GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion. GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion, ACM, pp. 69-70, 2019 Genetic and Evolutionary Computation Conference, GECCO 2019, Prague, Czech Republic, 13/07/19. https://doi.org/10.1145/3319619.3326768

Ce+Epso : A merged approach to solve SCOPF problem. / Marcelino, Carolina G.; Pedreira, Carlos; Wanner, Elizabeth F.; Carvalho, Leonel M.; Miranda, Vladimiro; Da Silva, Armando L.

GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion. ACM, 2019. p. 69-70 (GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - This work discusses the solution of a Large-scale global optimization problem named Security Constrained Optimal Power Flow (SCOPF) using a method based on Cross Entropy (CE) and Evolutionary Particle Swarm Optimization (EPSO). The obtained solution is compared to the Entropy Enhanced Covariance Matrix Adaptation Evolution Strategy (EE-CMAES) and Shrinking Net Algorithm (SNA). Experiments show the approach reaches competitive results.

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Marcelino CG, Pedreira C, Wanner EF, Carvalho LM, Miranda V, Da Silva AL. Ce+Epso: A merged approach to solve SCOPF problem. In GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion. ACM. 2019. p. 69-70. (GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion). https://doi.org/10.1145/3319619.3326768