A novel model for dynamic congestion management with transient stability constraints

D. Z. Fang, Jiang Cheng, Guo Lei, K. W. Chan

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

Abstract

A novel model for on-line dynamic congestion management (DCM) under transient stability constraints is proposed. The DCM is modeled as a nonlinear programming problem to minimize the total adjusting cost in purchasing power. Based on the optimal control principle, the transient stability constraints and power transmission limitations are all represented by linear inequality constraints of generations. A case study of DCM is performed on the New England 39-bus test system. By comparison of the test results of the proposed model and a static congestion management method, it is validated that the proposed model is efficient in managing dynamic congestions and ensuring the security of power system operations.
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 - 1 Dec 2006
Event7th IET International Conference on Advances in Power System Control, Operation and Management, APSCOM 2006 - Hong Kong, Hong Kong
Duration: 30 Oct 20062 Nov 2006

Conference

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

Keywords

  • Dynamic congestion management
  • Optimal control
  • Power system transient stability
  • Real-time power market

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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