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Heuristics for the economic dispatch problem

Abstract

This paper presents GRASP (Greedy Randomized Adaptive Search Procedure), Simulated Annealing (SAA), Genetic (GA), and Hybrid Genetic (HGA) Algorithms for the economic dispatch problem (EDP), considering non-convex cost functions and dead zones the only restrictions, showing the results obtained. We also present parameter settings that are specifically applicable to the EDP, and a comparative table of results for each heuristic. It is shown that these methods outperform the classical methods without the need to assume convexity of the target function. (author)
Authors:
Flores, Benjamin Carpio , E-mail: benjamin.carpo@cfe.gob.mx; [1]  Laureano Cruces, A L; Lopez Bracho, R; Ramirez Rodriguez, J. , Emails: clc@correo.azc.uam.mx, rlb@correo.azc.uam.mx, jararo@correo.azc.uam.mx [2] 
  1. Centro Nacional de Controle de Energia (CENACE), Mexico, D.F. (Mexico). Dept. de Planificacion Economica de Largo Plazo
  2. Universidad Autonoma Metropolitana (UAM), Mexico, D.F. (Brazil). Dept. de Sistemas
Publication Date:
Jul 01, 2009
Product Type:
Conference
Report Number:
ETDE-BR-2178
Resource Relation:
Conference: 8. Latin-American congress on electricity generation and transmission - CLAGTEE 2009, Ubatuba, SP (Brazil), 18-22 Oct 2009
Subject:
24 POWER TRANSMISSION AND DISTRIBUTION; POWER SYSTEMS; OPTIMIZATION; ALGORITHMS; ENERGY EFFICIENCY; COMPUTERIZED SIMULATION; ANNEALING; SCHEDULES
OSTI ID:
21472360
Research Organizations:
UNESP, Sao Paulo State University, SP (Brazil); Valparaiso Catholic University (Chile); National University of Mar del Plata (Argentina)
Country of Origin:
Brazil
Language:
English
Other Identifying Numbers:
TRN: BR1104393
Availability:
Commercial reproduction prohibited; OSTI as DE21472360
Submitting Site:
BR
Size:
9 pages
Announcement Date:
Jan 11, 2012

Citation Formats

Flores, Benjamin Carpio , E-mail: benjamin.carpo@cfe.gob.mx, Laureano Cruces, A L, Lopez Bracho, R, and Ramirez Rodriguez, J. , Emails: clc@correo.azc.uam.mx, rlb@correo.azc.uam.mx, jararo@correo.azc.uam.mx. Heuristics for the economic dispatch problem. Brazil: N. p., 2009. Web.
Flores, Benjamin Carpio , E-mail: benjamin.carpo@cfe.gob.mx, Laureano Cruces, A L, Lopez Bracho, R, & Ramirez Rodriguez, J. , Emails: clc@correo.azc.uam.mx, rlb@correo.azc.uam.mx, jararo@correo.azc.uam.mx. Heuristics for the economic dispatch problem. Brazil.
Flores, Benjamin Carpio , E-mail: benjamin.carpo@cfe.gob.mx, Laureano Cruces, A L, Lopez Bracho, R, and Ramirez Rodriguez, J. , Emails: clc@correo.azc.uam.mx, rlb@correo.azc.uam.mx, jararo@correo.azc.uam.mx. 2009. "Heuristics for the economic dispatch problem." Brazil.
@misc{etde_21472360,
title = {Heuristics for the economic dispatch problem}
author = {Flores, Benjamin Carpio , E-mail: benjamin.carpo@cfe.gob.mx, Laureano Cruces, A L, Lopez Bracho, R, and Ramirez Rodriguez, J. , Emails: clc@correo.azc.uam.mx, rlb@correo.azc.uam.mx, jararo@correo.azc.uam.mx}
abstractNote = {This paper presents GRASP (Greedy Randomized Adaptive Search Procedure), Simulated Annealing (SAA), Genetic (GA), and Hybrid Genetic (HGA) Algorithms for the economic dispatch problem (EDP), considering non-convex cost functions and dead zones the only restrictions, showing the results obtained. We also present parameter settings that are specifically applicable to the EDP, and a comparative table of results for each heuristic. It is shown that these methods outperform the classical methods without the need to assume convexity of the target function. (author)}
place = {Brazil}
year = {2009}
month = {Jul}
}