The investigation of environmental/economic dispatch using a genetic algorithm

A. Demirören; H. L. Zeynelgil

The investigation of environmental/economic dispatch using a genetic algorithm

A. Demirören^*, H. L. Zeynelgil

^*Corresponding author for this work

Department of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper presents an investigation of environmental and economic dispatch problem considering a power plant composed of six generators with transmission losses using Genetic algorithm (GA). In optimisation, GAs have some well-known advantages and disadvantages. The various methods were applied as economic dispatch problem with transmission capacity constraints in literature. In this study, a similar investigation for environmental emission (NO_X) and economic dispatch is considered and investigated using Continuous Parameter Genetic Algorithm, which is know to be superior for real numbers compared to simple GA. Although the computing time of GA is larger than other method, global minimum for environmental and economic dispatch problem is obtained.

Original language	English
Title of host publication	IASTED International Conference on Modelling Identification and Control
Editors	M.H. Hamza, M.H. Hamza
Pages	250-255
Number of pages	6
Publication status	Published - 2003
Event	22nd International Conference on Modelling Identification and Control - Innsbruck, Austria Duration: 10 Feb 2003 → 13 Feb 2003

Publication series

Name	IASTED International Conference on Modelling Identification and Control

Conference

Conference	22nd International Conference on Modelling Identification and Control
Country/Territory	Austria
City	Innsbruck
Period	10/02/03 → 13/02/03

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 8 Decent Work and Economic Growth

Keywords

Continuous parameter genetic algorithm
Environmental/economic dispatch

Cite this

@inproceedings{77c3a3ef3053402a9f83c105728d20b9,

title = "The investigation of environmental/economic dispatch using a genetic algorithm",

abstract = "This paper presents an investigation of environmental and economic dispatch problem considering a power plant composed of six generators with transmission losses using Genetic algorithm (GA). In optimisation, GAs have some well-known advantages and disadvantages. The various methods were applied as economic dispatch problem with transmission capacity constraints in literature. In this study, a similar investigation for environmental emission (NOX) and economic dispatch is considered and investigated using Continuous Parameter Genetic Algorithm, which is know to be superior for real numbers compared to simple GA. Although the computing time of GA is larger than other method, global minimum for environmental and economic dispatch problem is obtained.",

keywords = "Continuous parameter genetic algorithm, Environmental/economic dispatch",

author = "A. Demir{\"o}ren and Zeynelgil, \{H. L.\}",

year = "2003",

language = "English",

isbn = "0889863393",

series = "IASTED International Conference on Modelling Identification and Control",

pages = "250--255",

editor = "M.H. Hamza and M.H. Hamza",

booktitle = "IASTED International Conference on Modelling Identification and Control",

note = "22nd International Conference on Modelling Identification and Control ; Conference date: 10-02-2003 Through 13-02-2003",

}

Demirören, A & Zeynelgil, HL 2003, The investigation of environmental/economic dispatch using a genetic algorithm. in MH Hamza & MH Hamza (eds), IASTED International Conference on Modelling Identification and Control. IASTED International Conference on Modelling Identification and Control, pp. 250-255, 22nd International Conference on Modelling Identification and Control, Innsbruck, Austria, 10/02/03.

The investigation of environmental/economic dispatch using a genetic algorithm. / Demirören, A.; Zeynelgil, H. L.
IASTED International Conference on Modelling Identification and Control. ed. / M.H. Hamza; M.H. Hamza. 2003. p. 250-255 (IASTED International Conference on Modelling Identification and Control).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - The investigation of environmental/economic dispatch using a genetic algorithm

AU - Demirören, A.

AU - Zeynelgil, H. L.

PY - 2003

Y1 - 2003

N2 - This paper presents an investigation of environmental and economic dispatch problem considering a power plant composed of six generators with transmission losses using Genetic algorithm (GA). In optimisation, GAs have some well-known advantages and disadvantages. The various methods were applied as economic dispatch problem with transmission capacity constraints in literature. In this study, a similar investigation for environmental emission (NOX) and economic dispatch is considered and investigated using Continuous Parameter Genetic Algorithm, which is know to be superior for real numbers compared to simple GA. Although the computing time of GA is larger than other method, global minimum for environmental and economic dispatch problem is obtained.

AB - This paper presents an investigation of environmental and economic dispatch problem considering a power plant composed of six generators with transmission losses using Genetic algorithm (GA). In optimisation, GAs have some well-known advantages and disadvantages. The various methods were applied as economic dispatch problem with transmission capacity constraints in literature. In this study, a similar investigation for environmental emission (NOX) and economic dispatch is considered and investigated using Continuous Parameter Genetic Algorithm, which is know to be superior for real numbers compared to simple GA. Although the computing time of GA is larger than other method, global minimum for environmental and economic dispatch problem is obtained.

KW - Continuous parameter genetic algorithm

KW - Environmental/economic dispatch

UR - https://www.scopus.com/pages/publications/1542288089

M3 - Conference contribution

AN - SCOPUS:1542288089

SN - 0889863393

T3 - IASTED International Conference on Modelling Identification and Control

SP - 250

EP - 255

BT - IASTED International Conference on Modelling Identification and Control

A2 - Hamza, M.H.

T2 - 22nd International Conference on Modelling Identification and Control

Y2 - 10 February 2003 through 13 February 2003

ER -

The investigation of environmental/economic dispatch using a genetic algorithm

Abstract

Publication series

Conference

UN SDGs

Keywords

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Cite this