An efficient bi-objective approach for dynamic economic emission dispatch of renewable-integrated microgrids

Gholami, K; Abbasi, M; Azizivahed, A; Li, L

An efficient bi-objective approach for dynamic economic emission dispatch of renewable-integrated microgrids

Gholami, K Abbasi, M

Azizivahed, A Li, L

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Publisher:: Springer Nature
Publication Type:: Journal Article
Citation:: Journal of Ambient Intelligence and Humanized Computing, 2022, pp. 1-20
Issue Date:: 2022-01-01

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Field	Value	Language
dc.contributor.author	Gholami, K
dc.contributor.author	Abbasi, M https://orcid.org/0000-0003-3339-1258
dc.contributor.author	Azizivahed, A
dc.contributor.author	Li, L https://orcid.org/0000-0001-8485-2216
dc.date.accessioned	2023-04-26T03:42:20Z
dc.date.available	2023-04-26T03:42:20Z
dc.date.issued	2022-01-01
dc.identifier.citation	Journal of Ambient Intelligence and Humanized Computing, 2022, pp. 1-20
dc.identifier.issn	1868-5137
dc.identifier.issn	1868-5145
dc.identifier.uri	http://hdl.handle.net/10453/170095
dc.description.abstract	To overcome the challenges of conventional power systems, such as increasing power demand, requirements of stability and reliability, and increasing integration of renewable energy sources, the concept of microgrids was introduced and is currently one of the most important solutions for solving the mentioned problems. Generally, microgrids have two operating modes, namely grid-connected and islanded modes. Based on the literature and its unique characteristics, the islanded mode is more challenging than the other one. In this paper, a new self-adaptive comprehensive differential evolution (SACDE) algorithm is proposed for solving economic load dispatch (ELD) and combined economic emission dispatch (CEED) problems, achieving optimal power consumption in isolated microgrids. Initially, SACDE is employed for solving the ELD problem as a single-objective function, meaning that the operational cost is just considered as the objective function, and thereby, the resources are scheduled accordingly. Then, a multi-objective platform based on SACDE is also proposed to solve the CEED problem. It means two objective functions, including operational cost and emission, are simultaneously optimized. For evaluating the performance of the proposed method, three different scenarios under various cases are considered. According to the results, when SACDE is employed to solve the single objective function (cost minimization) problem, it has better performance than other methods. In terms of the bi-objective scheme (cost and emission minimization), SACDE is significantly superior to the price penalty factor technique which is frequently used in previous studies.
dc.language	en
dc.publisher	Springer Nature
dc.relation.ispartof	Journal of Ambient Intelligence and Humanized Computing
dc.relation.isbasedon	10.1007/s12652-022-04343-5
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0801 Artificial Intelligence and Image Processing, 0805 Distributed Computing
dc.title	An efficient bi-objective approach for dynamic economic emission dispatch of renewable-integrated microgrids
dc.type	Journal Article
utslib.for	0801 Artificial Intelligence and Image Processing
utslib.for	0805 Distributed Computing
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	open_access	*
dc.date.updated	2023-04-26T03:42:19Z
pubs.publication-status	Published

Abstract:

To overcome the challenges of conventional power systems, such as increasing power demand, requirements of stability and reliability, and increasing integration of renewable energy sources, the concept of microgrids was introduced and is currently one of the most important solutions for solving the mentioned problems. Generally, microgrids have two operating modes, namely grid-connected and islanded modes. Based on the literature and its unique characteristics, the islanded mode is more challenging than the other one. In this paper, a new self-adaptive comprehensive differential evolution (SACDE) algorithm is proposed for solving economic load dispatch (ELD) and combined economic emission dispatch (CEED) problems, achieving optimal power consumption in isolated microgrids. Initially, SACDE is employed for solving the ELD problem as a single-objective function, meaning that the operational cost is just considered as the objective function, and thereby, the resources are scheduled accordingly. Then, a multi-objective platform based on SACDE is also proposed to solve the CEED problem. It means two objective functions, including operational cost and emission, are simultaneously optimized. For evaluating the performance of the proposed method, three different scenarios under various cases are considered. According to the results, when SACDE is employed to solve the single objective function (cost minimization) problem, it has better performance than other methods. In terms of the bi-objective scheme (cost and emission minimization), SACDE is significantly superior to the price penalty factor technique which is frequently used in previous studies.

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http://hdl.handle.net/10453/170095