2008
DOI: 10.1016/j.epsr.2007.09.005
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Analytical solution for combined economic and emissions dispatch

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Cited by 149 publications
(68 citation statements)
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“…A generalized equation for finding the optimal generations by simplified recursive approach has been developed to solve the combined economic emission problem [18]. Palanichamy and Sundar Babu suggested a direct method based on mathematical modeling for solving this type of problems [19]. An approach based on modified neo-fuzzy neuron has been developed for online environmental and economic dispatch of generating units in a power system [20].…”
Section: Introductionmentioning
confidence: 99%
“…A generalized equation for finding the optimal generations by simplified recursive approach has been developed to solve the combined economic emission problem [18]. Palanichamy and Sundar Babu suggested a direct method based on mathematical modeling for solving this type of problems [19]. An approach based on modified neo-fuzzy neuron has been developed for online environmental and economic dispatch of generating units in a power system [20].…”
Section: Introductionmentioning
confidence: 99%
“…PSO is exploited in this approach to demonstrate its significance. The two economic and emission dispatch problems are combined and converted into a single objective function [20,21] with the help of a price penalty factor h. The converted objective function is minimized based on efficient PSO.…”
Section: Related Workmentioning
confidence: 99%
“…Combined economic and emission dispatch [20,22] has been emerged in the field of power generation dispatch [19] that concurrently reduce both fuel cost and total emissions. While the emission is reduced the fuel cost may be inappropriately increased or while the fuel cost is reduced the emission may be increased.…”
Section: Introductionmentioning
confidence: 99%
“…When the emission is minimized the fuel cost may be unacceptably high or when the fuel cost is minimized the emission may be high. A number of methods have been presented to solve CEED problems such as genetic algorithm [8], artificial bee colony algorithm [9,10], analytical solution [11,12], particle swarm optimization [13,14], and biogeography based optimization [15]. This paper proposes a SA algorithm to solve the CEED problem.…”
Section: Introductionmentioning
confidence: 99%