An Efficient Hybrid Approach to Solve Bi-objective Multi-area Dynamic Economic Emission Dispatch Problem

Azizivahed, A; Arefi, A; Naderi, E; Narimani, H; Fathi, M; Narimani, MR

An Efficient Hybrid Approach to Solve Bi-objective Multi-area Dynamic Economic Emission Dispatch Problem

Azizivahed, A Arefi, A Naderi, E Narimani, H Fathi, M Narimani, MR

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Publisher:: Informa UK Limited
Publication Type:: Journal Article
Citation:: Electric Power Components and Systems, 2020, 48, (4-5), pp. 485-500
Issue Date:: 2020-07-28

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Field	Value	Language
dc.contributor.author	Azizivahed, A
dc.contributor.author	Arefi, A
dc.contributor.author	Naderi, E
dc.contributor.author	Narimani, H
dc.contributor.author	Fathi, M
dc.contributor.author	Narimani, MR
dc.date.accessioned	2020-11-26T22:54:44Z
dc.date.available	2020-11-26T22:54:44Z
dc.date.issued	2020-07-28
dc.identifier.citation	Electric Power Components and Systems, 2020, 48, (4-5), pp. 485-500
dc.identifier.issn	1532-5008
dc.identifier.issn	1532-5016
dc.identifier.uri	http://hdl.handle.net/10453/144389
dc.description.abstract	© 2020 Taylor & Francis Group, LLC. Single period economic dispatch cannot handle the intertemporal constraints in multi-period environment. To cope with this issue, the extension of economic dispatch over multiple time intervals (i.e., dynamic economic dispatch) has been introduced that considers the intertemporal constraints between different time intervals. Another issue is determining the most economical generation dispatch that could supply the area demand without violating the tie-line capacity, which cannot be solved by conventional economic dispatch problems. However, this study shows that the most economic schedule of power generation cannot satisfy echo-system expectation; therefore, making a compromise between fuel cost and environmental issues, a hot-button subject in industrialized nations, seems to be crucial. To reach the goals a bi-objective multi-area dynamic economic dispatch approach, which can handle intertemporal and multi-area constraints concurrently, is proposed to assist power system operators more and more. Finally, a hybrid algorithm, namely gray wolf optimizer-particle swarm optimization is introduced to solve the proposed problem and also a set of benchmark problems. By implementing the proposed approach on two small (10-unit, three areas) and large (40-unit, four areas) scale test systems, about 3.1% and 3.3% improvement in generation cost is obtained, respectively compare to the best reported results in the literature.
dc.language	en
dc.publisher	Informa UK Limited
dc.relation.ispartof	Electric Power Components and Systems
dc.relation.isbasedon	10.1080/15325008.2020.1793830
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.subject	0906 Electrical and Electronic Engineering
dc.subject.classification	Energy
dc.title	An Efficient Hybrid Approach to Solve Bi-objective Multi-area Dynamic Economic Emission Dispatch Problem
dc.type	Journal Article
utslib.citation.volume	48
utslib.for	0906 Electrical and Electronic Engineering
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	closed_access	*
dc.date.updated	2020-11-26T22:54:42Z
pubs.issue	4-5
pubs.publication-status	Published
pubs.volume	48
utslib.citation.issue	4-5

Abstract:

© 2020 Taylor & Francis Group, LLC. Single period economic dispatch cannot handle the intertemporal constraints in multi-period environment. To cope with this issue, the extension of economic dispatch over multiple time intervals (i.e., dynamic economic dispatch) has been introduced that considers the intertemporal constraints between different time intervals. Another issue is determining the most economical generation dispatch that could supply the area demand without violating the tie-line capacity, which cannot be solved by conventional economic dispatch problems. However, this study shows that the most economic schedule of power generation cannot satisfy echo-system expectation; therefore, making a compromise between fuel cost and environmental issues, a hot-button subject in industrialized nations, seems to be crucial. To reach the goals a bi-objective multi-area dynamic economic dispatch approach, which can handle intertemporal and multi-area constraints concurrently, is proposed to assist power system operators more and more. Finally, a hybrid algorithm, namely gray wolf optimizer-particle swarm optimization is introduced to solve the proposed problem and also a set of benchmark problems. By implementing the proposed approach on two small (10-unit, three areas) and large (40-unit, four areas) scale test systems, about 3.1% and 3.3% improvement in generation cost is obtained, respectively compare to the best reported results in the literature.

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http://hdl.handle.net/10453/144389