An Imperialist Competitive Algorithm-Based Multi-Objective Optimization for Voltage Source Converter High-Voltage Direct Current Stations Control in Multi-Terminal HVDC Grids

Rouzbehi, K; Baa Wafaa, M; Rakhshani, E

An Imperialist Competitive Algorithm-Based Multi-Objective Optimization for Voltage Source Converter High-Voltage Direct Current Stations Control in Multi-Terminal HVDC Grids

Rouzbehi, K

Baa Wafaa, M Rakhshani, E

Permalink

Publication Type:: Journal Article
Citation:: Electric Power Components and Systems, 2019, 47 (4-5), pp. 316 - 328
Issue Date:: 2019-03-16

Closed Access

	Filename	Description	Size
	An Imperialist Competitive Algorithm Based Multi Objective Optimization for Voltage Source Converter High Voltage Direct Current Stations Control in.pdf	Published Version	1.54 MB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Rouzbehi, K https://orcid.org/0000-0002-3623-4840	en_US
dc.contributor.author	Baa Wafaa, M	en_US
dc.contributor.author	Rakhshani, E	en_US
dc.date.issued	2019-03-16	en_US
dc.identifier.citation	Electric Power Components and Systems, 2019, 47 (4-5), pp. 316 - 328	en_US
dc.identifier.issn	1532-5008	en_US
dc.identifier.uri	http://hdl.handle.net/10453/135866
dc.description.abstract	©, Copyright © Taylor & Francis Group, LLC. This article presents a multi-objective-based imperialist competitive algorithm (ICA) for optimal tuning of voltage source converter (VSC) stations control parameters in multi-terminal high-voltage direct current (MT-HVDC) grid. The key objective here is to enhance the control performance of the MT-HVDC grid VSC-HVDC stations under dynamic situations. As VSC-HVDC stations are non-linear apparatuses of the MT-HVDC grids, conventional methods for the tuning of the control parameters which are commonly based on approximated linear plant models do not reach to optimal results. Therefore, as the main contribution of this research, an effective ICA-based multi-objective optimization technique is adopted for optimal tuning of the VSC-HVDC stations control parameters. The proposed composite objective function in this algorithm consists of both inner and outer loop parameter optimization characteristics. A fuzzification technique is used in this study to normalize all objective functions and to find the optimal solution. To confirm the merits of the presented optimization method, a detailed model of a four-terminal MT-HVDC grid is developed and its transient and steady-state performance in case of classically and ICA tuned have been studied and compared.	en_US
dc.relation.ispartof	Electric Power Components and Systems	en_US
dc.relation.isbasedon	10.1080/15325008.2019.1608479	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Energy	en_US
dc.title	An Imperialist Competitive Algorithm-Based Multi-Objective Optimization for Voltage Source Converter High-Voltage Direct Current Stations Control in Multi-Terminal HVDC Grids	en_US
dc.type	Journal Article
utslib.citation.volume	4-5	en_US
utslib.citation.volume	47	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
utslib.copyright.status	closed_access	*
pubs.issue	4-5	en_US
pubs.publication-status	Published	en_US
pubs.volume	47	en_US

Abstract:

©, Copyright © Taylor & Francis Group, LLC. This article presents a multi-objective-based imperialist competitive algorithm (ICA) for optimal tuning of voltage source converter (VSC) stations control parameters in multi-terminal high-voltage direct current (MT-HVDC) grid. The key objective here is to enhance the control performance of the MT-HVDC grid VSC-HVDC stations under dynamic situations. As VSC-HVDC stations are non-linear apparatuses of the MT-HVDC grids, conventional methods for the tuning of the control parameters which are commonly based on approximated linear plant models do not reach to optimal results. Therefore, as the main contribution of this research, an effective ICA-based multi-objective optimization technique is adopted for optimal tuning of the VSC-HVDC stations control parameters. The proposed composite objective function in this algorithm consists of both inner and outer loop parameter optimization characteristics. A fuzzification technique is used in this study to normalize all objective functions and to find the optimal solution. To confirm the merits of the presented optimization method, a detailed model of a four-terminal MT-HVDC grid is developed and its transient and steady-state performance in case of classically and ICA tuned have been studied and compared.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/135866