Non-cascaded short-term pumped-storage hydro-thermal scheduling using accelerated particle swarm optimization

Fakhar, MS; Rehman Kashif, SA; Saqib, MA; Mehmood, F; Hussain, HZ

Non-cascaded short-term pumped-storage hydro-thermal scheduling using accelerated particle swarm optimization

Fakhar, MS Rehman Kashif, SA Saqib, MA Mehmood, F Hussain, HZ

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Publication Type:: Conference Proceeding
Citation:: 2018 International Conference on Electrical Engineering, ICEE 2018, 2018
Issue Date:: 2018-12-06

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Field	Value	Language
dc.contributor.author	Fakhar, MS	en_US
dc.contributor.author	Rehman Kashif, SA	en_US
dc.contributor.author	Saqib, MA	en_US
dc.contributor.author	Mehmood, F	en_US
dc.contributor.author	Hussain, HZ	en_US
dc.date.available	2020-12-06T18:01:34Z
dc.date.issued	2018-12-06	en_US
dc.identifier.citation	2018 International Conference on Electrical Engineering, ICEE 2018, 2018	en_US
dc.identifier.isbn	9781538609224	en_US
dc.identifier.uri	http://hdl.handle.net/10453/133896
dc.description.abstract	© 2018 IEEE. This paper presents the implementation of a variant of the famous particle swarm optimization, known as Accelerated Particle Swarm Optimization (APSO), on a non-cascaded or a two-unit hydro-thermal system with consideration of hydal pumping in light loading intervals of hydro-thermal scheduling period. APSO is an easy to program and easy to implement variant of Particle Swarm Optimization (PSO) that has the ability to converge to a good approximate to global optimum within a few iterations. A standard pumped-storage hydrothermal scheduling problem, discussed in existing literature, is considered for the implementation of APSO. A comparison of this implementation is also given with the previously existing implementations of other algorithms.	en_US
dc.relation.ispartof	2018 International Conference on Electrical Engineering, ICEE 2018	en_US
dc.relation.isbasedon	10.1109/ICEE.2018.8566884	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Non-cascaded short-term pumped-storage hydro-thermal scheduling using accelerated particle swarm optimization	en_US
dc.type	Conference Proceeding
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
utslib.copyright.status	open_access	*
pubs.declined	2019-06-13T10:44:59.3+1000
pubs.publication-status	Published	en_US

Abstract:

© 2018 IEEE. This paper presents the implementation of a variant of the famous particle swarm optimization, known as Accelerated Particle Swarm Optimization (APSO), on a non-cascaded or a two-unit hydro-thermal system with consideration of hydal pumping in light loading intervals of hydro-thermal scheduling period. APSO is an easy to program and easy to implement variant of Particle Swarm Optimization (PSO) that has the ability to converge to a good approximate to global optimum within a few iterations. A standard pumped-storage hydrothermal scheduling problem, discussed in existing literature, is considered for the implementation of APSO. A comparison of this implementation is also given with the previously existing implementations of other algorithms.

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http://hdl.handle.net/10453/133896