A novel reliability oriented bi-objective unit commitment problem

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

A novel reliability oriented bi-objective unit commitment problem

Azizivahed, A Ghavidel, S Ghadi, MJ

Li, L

Zhang, J

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Publication Type:: Conference Proceeding
Citation:: 2017 Australasian Universities Power Engineering Conference, AUPEC 2017, 2018, 2017-November pp. 1 - 6
Issue Date:: 2018-02-05

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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.available	2020-05-25T19:10:33Z
dc.date.issued	2018-02-05	en_US
dc.identifier.citation	2017 Australasian Universities Power Engineering Conference, AUPEC 2017, 2018, 2017-November pp. 1 - 6	en_US
dc.identifier.isbn	9781538626474	en_US
dc.identifier.uri	http://hdl.handle.net/10453/126268
dc.description.abstract	© 2017 IEEE. This paper presents a new solution to unit commitment for single-objective and multi-objective frameworks. In the first step, the total expected energy not supplied (TEENS) is proposed as a separate reliability objective function and at the next step, the multi-objective Pareto front strategy is implemented to simultaneously optimize the cost and reliability objective functions. Additionally, an integer based codification of initial solutions is added to reduce the dimension of ON/OFF status variables and also to eliminate the negative influence of penalty factor. The modified invasive weed optimization (MIWO) algorithm is also developed to optimally solve the proposed problem. The obtained solutions are compared with results in the literature which confirms the applicability and superiority of the proposed algorithm for a 10-unit system and 24-hour scheduling horizon.	en_US
dc.relation.ispartof	2017 Australasian Universities Power Engineering Conference, AUPEC 2017	en_US
dc.relation.isbasedon	10.1109/AUPEC.2017.8282469	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.title	A novel reliability oriented bi-objective unit commitment problem	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2017-November	en_US
utslib.for	0906 Electrical and Electronic Engineering	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	open_access	*
pubs.publication-status	Published	en_US
pubs.volume	2017-November	en_US

Abstract:

© 2017 IEEE. This paper presents a new solution to unit commitment for single-objective and multi-objective frameworks. In the first step, the total expected energy not supplied (TEENS) is proposed as a separate reliability objective function and at the next step, the multi-objective Pareto front strategy is implemented to simultaneously optimize the cost and reliability objective functions. Additionally, an integer based codification of initial solutions is added to reduce the dimension of ON/OFF status variables and also to eliminate the negative influence of penalty factor. The modified invasive weed optimization (MIWO) algorithm is also developed to optimally solve the proposed problem. The obtained solutions are compared with results in the literature which confirms the applicability and superiority of the proposed algorithm for a 10-unit system and 24-hour scheduling horizon.

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http://hdl.handle.net/10453/126268