Optimal phase shifter coordination: a multidimensional problem

J Verboomen; D van Hertem; R Belmans; PH Schavemaker; WL Kling

Optimal phase shifter coordination: a multidimensional problem

J Verboomen, D van Hertem, R Belmans, PH Schavemaker, WL Kling

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific

Abstract

In a liberalized electricity market, the use of phase shift ing transformers or other power ¿ow controlling devices allows the transmission system operator to utilize the avail able grid infrastructure in a more optimal way. However, each phase shifter adds a degrees of freedom to the control problem, making optimization more dif¿cult. In this paper, the coordination problem is solved by using Particle Swarm Optimization (PSO). The goal is to give an overview of how PSO is used to solve this particular problem, and to demon strate a new area of application for the method.

Original language	Undefined/Unknown
Title of host publication	IASTED artificial intelligence and soft computing 2006
Editors	s.n.
Place of Publication	Calgary
Publisher	ACTA Press
Pages	1-6
Number of pages	6
ISBN (Print)	0-889686-610-4
Publication status	Published - 2006
Event	IASTED artificial intelligence and soft computing 2006, Palma de Mallorca - Calgary Duration: 28 Aug 2006 → 30 Aug 2006

Publication series

Name
Publisher	Acta Press

Conference

Conference	IASTED artificial intelligence and soft computing 2006, Palma de Mallorca
Period	28/08/06 → 30/08/06

Keywords

conference contrib. refereed
Conf.proc. > 3 pag

Cite this

@inproceedings{50ad4b7825f64fa7be1a9809d11c330d,

title = "Optimal phase shifter coordination: a multidimensional problem",

abstract = "In a liberalized electricity market, the use of phase shift ing transformers or other power ¿ow controlling devices allows the transmission system operator to utilize the avail able grid infrastructure in a more optimal way. However, each phase shifter adds a degrees of freedom to the control problem, making optimization more dif¿cult. In this paper, the coordination problem is solved by using Particle Swarm Optimization (PSO). The goal is to give an overview of how PSO is used to solve this particular problem, and to demon strate a new area of application for the method.",

keywords = "conference contrib. refereed, Conf.proc. > 3 pag",

author = "J Verboomen and {van Hertem}, D and R Belmans and PH Schavemaker and WL Kling",

year = "2006",

language = "Undefined/Unknown",

isbn = "0-889686-610-4",

publisher = "ACTA Press",

pages = "1--6",

editor = "s.n.",

booktitle = "IASTED artificial intelligence and soft computing 2006",

note = "IASTED artificial intelligence and soft computing 2006, Palma de Mallorca ; Conference date: 28-08-2006 Through 30-08-2006",

}

TY - GEN

T1 - Optimal phase shifter coordination: a multidimensional problem

AU - Verboomen, J

AU - van Hertem, D

AU - Belmans, R

AU - Schavemaker, PH

AU - Kling, WL

PY - 2006

Y1 - 2006

N2 - In a liberalized electricity market, the use of phase shift ing transformers or other power ¿ow controlling devices allows the transmission system operator to utilize the avail able grid infrastructure in a more optimal way. However, each phase shifter adds a degrees of freedom to the control problem, making optimization more dif¿cult. In this paper, the coordination problem is solved by using Particle Swarm Optimization (PSO). The goal is to give an overview of how PSO is used to solve this particular problem, and to demon strate a new area of application for the method.

AB - In a liberalized electricity market, the use of phase shift ing transformers or other power ¿ow controlling devices allows the transmission system operator to utilize the avail able grid infrastructure in a more optimal way. However, each phase shifter adds a degrees of freedom to the control problem, making optimization more dif¿cult. In this paper, the coordination problem is solved by using Particle Swarm Optimization (PSO). The goal is to give an overview of how PSO is used to solve this particular problem, and to demon strate a new area of application for the method.

KW - conference contrib. refereed

KW - Conf.proc. > 3 pag

M3 - Conference contribution

SN - 0-889686-610-4

SP - 1

EP - 6

BT - IASTED artificial intelligence and soft computing 2006

A2 - s.n., null

PB - ACTA Press

CY - Calgary

T2 - IASTED artificial intelligence and soft computing 2006, Palma de Mallorca

Y2 - 28 August 2006 through 30 August 2006

ER -