Optimal location of unified power flow controller for congestion management

B Chong, Xiao-Ping Zhang, KR Godfrey, L Yao, M Bazargan

Research output: Contribution to journalArticle

18 Citations (Scopus)

Abstract

In deregulated environments, electricity companies are likely to experience an increase in the number of daily market transactions. Hie penetration of renewable energy generation is likely to bring further uncertainty of network management in terms of power flows and voltage: where the systems are being operated towards their limits. Subsequently the stressed systems would result in congestion in transmission networks Therefore, effective means for congestion management of transmission networks will become increasingly important, particularly for transmission system operators (TSOs). The benefits of using flexible AC transmission system (FACTS) controllers on transmission networks for static an dynamic control are well recognized. In this paper, a sensitivity based three-step optimization method, capable of determining the congestion cost optimal location and rating of a unified power flow controller (UPFC) is presented. A bilateral electricity market model is assumed and the proposed method is illustrated using the IEEE 30 bus system. Results show high congestion cost reductions, which reinforces the UPFC as a viable solution. In addition, it is shown that the sensitivity based method is efficient at identifying the vicinity of the optimal location for installation, as the number of required simulations is kept to a minimum. Copyright (C) 2009 John Wiley & Sons, Ltd.
Original languageEnglish
Pages (from-to)600-610
Number of pages11
JournalEuropean Transactions on Electrical Power
Volume20
Issue number5
DOIs
Publication statusPublished - 1 Jul 2010

Keywords

  • Interior Point Optimization algorithm
  • sensitivity analysis
  • OPF
  • FACTS controllers
  • UPFC
  • congestion management
  • power flow control

Fingerprint

Dive into the research topics of 'Optimal location of unified power flow controller for congestion management'. Together they form a unique fingerprint.

Cite this