The investigation of environmental/economic dispatch by using Hopfield NN

H. X. Zeynelgil; N. S. Sengör; A. Demirören

doi:10.1109/PTC.2003.1304669

The investigation of environmental/economic dispatch by using Hopfield NN

H. X. Zeynelgil^*, N. S. Sengör, A. Demirören

^*Corresponding author for this work

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

2 Citations (Scopus)

Abstract

This paper presents an investigation of environmental and economic dispatch problem considering a power plant composed of six generators with transmission losses using Hopfield neural network (HNN). The HNN method was evaluated and applied as economic dispatch problem with transmission capacity constraints in literature. In this study, a similar investigation for environmental emission (NO _x).J and economic dispatch is considered and simulated using HNN.

Original language	English
Title of host publication	2003 IEEE Bologna PowerTech - Conference Proceedings
Pages	918-921
Number of pages	4
DOIs	https://doi.org/10.1109/PTC.2003.1304669
Publication status	Published - 2003
Event	2003 IEEE Bologna PowerTech Conference - Bologna, Italy Duration: 23 Jun 2003 → 26 Jun 2003

Publication series

Name	2003 IEEE Bologna PowerTech - Conference Proceedings
Volume	2

Conference

Conference	2003 IEEE Bologna PowerTech Conference
Country/Territory	Italy
City	Bologna
Period	23/06/03 → 26/06/03

Keywords

Environmental/Economic dispatch
HNN
Multi-objective optimisation

UN SDGs

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

Access to Document

10.1109/PTC.2003.1304669

Cite this

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title = "The investigation of environmental/economic dispatch by using Hopfield NN",

abstract = "This paper presents an investigation of environmental and economic dispatch problem considering a power plant composed of six generators with transmission losses using Hopfield neural network (HNN). The HNN method was evaluated and applied as economic dispatch problem with transmission capacity constraints in literature. In this study, a similar investigation for environmental emission (NO x).J and economic dispatch is considered and simulated using HNN.",

keywords = "Environmental/Economic dispatch, HNN, Multi-objective optimisation",

author = "Zeynelgil, {H. X.} and Seng{\"o}r, {N. S.} and A. Demir{\"o}ren",

year = "2003",

doi = "10.1109/PTC.2003.1304669",

language = "English",

isbn = "0780379675",

series = "2003 IEEE Bologna PowerTech - Conference Proceedings",

pages = "918--921",

booktitle = "2003 IEEE Bologna PowerTech - Conference Proceedings",

note = "2003 IEEE Bologna PowerTech Conference ; Conference date: 23-06-2003 Through 26-06-2003",

}

Zeynelgil, HX , Sengör, NS & Demirören, A 2003, The investigation of environmental/economic dispatch by using Hopfield NN. in 2003 IEEE Bologna PowerTech - Conference Proceedings., 1304669, 2003 IEEE Bologna PowerTech - Conference Proceedings, vol. 2, pp. 918-921, 2003 IEEE Bologna PowerTech Conference, Bologna, Italy, 23/06/03. https://doi.org/10.1109/PTC.2003.1304669

The investigation of environmental/economic dispatch by using Hopfield NN. / Zeynelgil, H. X.; Sengör, N. S.; Demirören, A.
2003 IEEE Bologna PowerTech - Conference Proceedings. 2003. p. 918-921 1304669 (2003 IEEE Bologna PowerTech - Conference Proceedings; Vol. 2).

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

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AB - This paper presents an investigation of environmental and economic dispatch problem considering a power plant composed of six generators with transmission losses using Hopfield neural network (HNN). The HNN method was evaluated and applied as economic dispatch problem with transmission capacity constraints in literature. In this study, a similar investigation for environmental emission (NO x).J and economic dispatch is considered and simulated using HNN.

KW - Environmental/Economic dispatch

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KW - Multi-objective optimisation

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The investigation of environmental/economic dispatch by using Hopfield NN

Abstract

Publication series

Conference

Keywords

UN SDGs

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