Infeasibility detection and solution for optimal power flow

Y. Xia; K. W. Chan; M. Liu

doi:10.1049/cp:20062208

Infeasibility detection and solution for optimal power flow

Y. Xia
, K. W. Chan
, M. Liu

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Abstract

In this paper, homogenous interior point algorithm is proposed for feasibility detection and solution for the optimal power flow (OPF) problem. By the introduction of homogenization variables, homogenized monotone complimentary problem is firstly transcribed from generalized monotone complementary problem and then solved by a homogeneous interior point method. Compared with conventional optimization methods, this algorithm can give either an approximation optimum solution or detect possible infeasibility or unboundedness reliably in optimization process according to the value of the homogeneous variables. The proposed method is validated in the IEEE 30-bus system.

Original language	English
Title of host publication	7th IET International Conference on Advances in Power System Control, Operation and Management (APSCOM 2006)
Edition	523 CP
DOIs	https://doi.org/10.1049/cp:20062208
Publication status	Published - 1 Dec 2006
Event	7th IET International Conference on Advances in Power System Control, Operation and Management, APSCOM 2006 - Hong Kong, Hong Kong Duration: 30 Oct 2006 → 2 Nov 2006

Conference

Conference	7th IET International Conference on Advances in Power System Control, Operation and Management, APSCOM 2006
Country/Territory	Hong Kong
City	Hong Kong
Period	30/10/06 → 2/11/06

Keywords

Homogeneous interior point method.
Infeasibility detection
Optimal power flow

ASJC Scopus subject areas

Electrical and Electronic Engineering

More information

10.1049/cp:20062208

Cite this

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title = "Infeasibility detection and solution for optimal power flow",

abstract = "In this paper, homogenous interior point algorithm is proposed for feasibility detection and solution for the optimal power flow (OPF) problem. By the introduction of homogenization variables, homogenized monotone complimentary problem is firstly transcribed from generalized monotone complementary problem and then solved by a homogeneous interior point method. Compared with conventional optimization methods, this algorithm can give either an approximation optimum solution or detect possible infeasibility or unboundedness reliably in optimization process according to the value of the homogeneous variables. The proposed method is validated in the IEEE 30-bus system.",

keywords = "Homogeneous interior point method., Infeasibility detection, Optimal power flow",

author = "Y. Xia and Chan, \{K. W.\} and M. Liu",

year = "2006",

month = dec,

day = "1",

doi = "10.1049/cp:20062208",

language = "English",

isbn = "0863412467",

booktitle = "7th IET International Conference on Advances in Power System Control, Operation and Management (APSCOM 2006)",

edition = "523 CP",

note = "7th IET International Conference on Advances in Power System Control, Operation and Management, APSCOM 2006 ; Conference date: 30-10-2006 Through 02-11-2006",

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Xia, Y, Chan, KW & Liu, M 2006, Infeasibility detection and solution for optimal power flow. in 7th IET International Conference on Advances in Power System Control, Operation and Management (APSCOM 2006). 523 CP edn, 7th IET International Conference on Advances in Power System Control, Operation and Management, APSCOM 2006, Hong Kong, Hong Kong, 30/10/06. https://doi.org/10.1049/cp:20062208

TY - GEN

T1 - Infeasibility detection and solution for optimal power flow

AU - Xia, Y.

AU - Chan, K. W.

AU - Liu, M.

PY - 2006/12/1

Y1 - 2006/12/1

N2 - In this paper, homogenous interior point algorithm is proposed for feasibility detection and solution for the optimal power flow (OPF) problem. By the introduction of homogenization variables, homogenized monotone complimentary problem is firstly transcribed from generalized monotone complementary problem and then solved by a homogeneous interior point method. Compared with conventional optimization methods, this algorithm can give either an approximation optimum solution or detect possible infeasibility or unboundedness reliably in optimization process according to the value of the homogeneous variables. The proposed method is validated in the IEEE 30-bus system.

AB - In this paper, homogenous interior point algorithm is proposed for feasibility detection and solution for the optimal power flow (OPF) problem. By the introduction of homogenization variables, homogenized monotone complimentary problem is firstly transcribed from generalized monotone complementary problem and then solved by a homogeneous interior point method. Compared with conventional optimization methods, this algorithm can give either an approximation optimum solution or detect possible infeasibility or unboundedness reliably in optimization process according to the value of the homogeneous variables. The proposed method is validated in the IEEE 30-bus system.

KW - Homogeneous interior point method.

KW - Infeasibility detection

KW - Optimal power flow

UR - https://www.scopus.com/pages/publications/70350233186

U2 - 10.1049/cp:20062208

DO - 10.1049/cp:20062208

M3 - Conference article published in proceeding or book

SN - 0863412467

SN - 9780863412462

BT - 7th IET International Conference on Advances in Power System Control, Operation and Management (APSCOM 2006)

T2 - 7th IET International Conference on Advances in Power System Control, Operation and Management, APSCOM 2006

Y2 - 30 October 2006 through 2 November 2006

ER -

Infeasibility detection and solution for optimal power flow

Abstract

Conference

Keywords

ASJC Scopus subject areas

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