Multi-area economic emission dispatch considering load uncertainty

Azizivahed, A; Ghavidel, S; Ghadi, MJ; Li, L; Zhang, J

Multi-area economic emission dispatch considering load uncertainty

Azizivahed, A Ghavidel, S Ghadi, MJ

Li, L

Zhang, J

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Publication Type:: Conference Proceeding
Citation:: 2017 20th International Conference on Electrical Machines and Systems, ICEMS 2017, 2017
Issue Date:: 2017-10-02

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Field	Value	Language
dc.contributor.author	Azizivahed, A	en_US
dc.contributor.author	Ghavidel, S	en_US
dc.contributor.author	Ghadi, MJ https://orcid.org/0000-0002-5564-5055	en_US
dc.contributor.author	Li, L https://orcid.org/0000-0001-8485-2216	en_US
dc.contributor.author	Zhang, J https://orcid.org/0000-0003-2616-6722	en_US
dc.date.issued	2017-10-02	en_US
dc.identifier.citation	2017 20th International Conference on Electrical Machines and Systems, ICEMS 2017, 2017	en_US
dc.identifier.isbn	9781538632468	en_US
dc.identifier.uri	http://hdl.handle.net/10453/127366
dc.description.abstract	© 2017 IEEE. Multi-area economic emission dispatch problem provides an optimal schedule for active power of generators and interchange active power between different areas by considering the operational limitations such as balance between generation and consumption, tie-line capacity limitation, generators output constraint, and transmission losses. In this paper, a hybrid method based on shuffled frog leaping algorithm (SFLA) and particle swarm optimization (PSO) is presented to achieve better solution. Furthermore, the stochastic nature of energy consumption is modeled as uncertainty source using scenario reduction technique to achieve the results which are closer to the real condition. The performance of the proposed approach is elaborated in two test systems with different scales including 10-generator with three-area and 40-generator with four-area. The obtained results are compared with those available in the literature to show the effectiveness of the proposed approach.	en_US
dc.relation.ispartof	2017 20th International Conference on Electrical Machines and Systems, ICEMS 2017	en_US
dc.relation.isbasedon	10.1109/ICEMS.2017.8056132	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Multi-area economic emission dispatch considering load uncertainty	en_US
dc.type	Conference Proceeding
utslib.for	090607 Power and Energy Systems Engineering (excl. Renewable Power)	en_US
pubs.embargo.period	Not known	en_US
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
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US

Abstract:

© 2017 IEEE. Multi-area economic emission dispatch problem provides an optimal schedule for active power of generators and interchange active power between different areas by considering the operational limitations such as balance between generation and consumption, tie-line capacity limitation, generators output constraint, and transmission losses. In this paper, a hybrid method based on shuffled frog leaping algorithm (SFLA) and particle swarm optimization (PSO) is presented to achieve better solution. Furthermore, the stochastic nature of energy consumption is modeled as uncertainty source using scenario reduction technique to achieve the results which are closer to the real condition. The performance of the proposed approach is elaborated in two test systems with different scales including 10-generator with three-area and 40-generator with four-area. The obtained results are compared with those available in the literature to show the effectiveness of the proposed approach.

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http://hdl.handle.net/10453/127366