Particle swarm optimization for OPF with consideration of FACTS devices

Leung, HC; Lu, DDC

Particle swarm optimization for OPF with consideration of FACTS devices

Leung, HC Lu, DDC

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Publication Type:: Conference Proceeding
Citation:: IECON Proceedings (Industrial Electronics Conference), 2011, pp. 2406 - 2410
Issue Date:: 2011-12-01

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Field	Value	Language
dc.contributor.author	Leung, HC	en_US
dc.contributor.author	Lu, DDC https://orcid.org/0000-0003-2145-0580	en_US
dc.date.issued	2011-12-01	en_US
dc.identifier.citation	IECON Proceedings (Industrial Electronics Conference), 2011, pp. 2406 - 2410	en_US
dc.identifier.isbn	9781612849720	en_US
dc.identifier.uri	http://hdl.handle.net/10453/120211
dc.description.abstract	This paper presents a particle swarm optimization (PSO) method approach to solve the optimal power flow (OPF) in power systems incorporated with flexible ac transmission system (FACTS). The above approach integrates the power flow control needs into the OPF problem to fully utilize the characteristics of FACTS devices. A versatile FACTS device, UPFC (Unified Power Flow Controller), is considered. In the solution process, PSO coupled with full AC power flow, selects the best regulation to minimize the total cost and keep the power flows within their security limits. The optimization process with PSO is presented with case study examples using IEEE modified 14-bus system to demonstrate its applicability. The results have been compared with genetic algorithm (GA) to show the feasibility and the potential of this approach. © 2011 IEEE.	en_US
dc.relation.ispartof	IECON Proceedings (Industrial Electronics Conference)	en_US
dc.relation.isbasedon	10.1109/IECON.2011.6119686	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Particle swarm optimization for OPF with consideration of FACTS devices	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
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US

Abstract:

This paper presents a particle swarm optimization (PSO) method approach to solve the optimal power flow (OPF) in power systems incorporated with flexible ac transmission system (FACTS). The above approach integrates the power flow control needs into the OPF problem to fully utilize the characteristics of FACTS devices. A versatile FACTS device, UPFC (Unified Power Flow Controller), is considered. In the solution process, PSO coupled with full AC power flow, selects the best regulation to minimize the total cost and keep the power flows within their security limits. The optimization process with PSO is presented with case study examples using IEEE modified 14-bus system to demonstrate its applicability. The results have been compared with genetic algorithm (GA) to show the feasibility and the potential of this approach. © 2011 IEEE.

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http://hdl.handle.net/10453/120211