Decomposed interior point method for dynamic optimal power flow

Fang Liu, C. Y. Chung, K. P. Wong, Wei Yan, Guoyu Xu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

In this paper, a decomposed interior point method (IPM) is proposed for solving the dynamic optimal power flow (OPF), which is a large-scale and nonlinear optimization problem. The Karush-Kuhn-Tucker (KKT) system in IPM is decomposed into many subsystems based on its special block structure. The size of the subsystems depends on the size of network only so that the complexity and computation burden of the problem are significantly reduced. Since different parameter settings of iteration processes are required for the decomposed subsystems, a strategy for the implementation of the decomposed IPM in the dynamic OPF is introduced. The effectiveness of the proposed method has been demonstrated on the IEEE 14-bus system with up to 24 time intervals.

Original languageEnglish
Title of host publication7th IET International Conference on Advances in Power System Control, Operation and Management (APSCOM 2006)
Edition523 CP
DOIs
Publication statusPublished - Nov 2006
Event7th IET International Conference on Advances in Power System Control, Operation and Management, APSCOM 2006 - Hong Kong, China
Duration: 30 Oct 20062 Nov 2006

Publication series

NameIET Conference Publications
Number523 CP

Conference

Conference7th IET International Conference on Advances in Power System Control, Operation and Management, APSCOM 2006
Country/TerritoryChina
CityHong Kong
Period30/10/062/11/06

Keywords

  • Dynamic constraint
  • Interior point method
  • Optimal power flow

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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