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Data-Aided Offline and Online Screening for Security Constraint

  • Shubo Zhang
  • , Hongxing Ye
  • , Fengyu Wang
  • , Yonghong Chen
  • , Steve Rose
  • , Yaming Ma
  • Cleveland State University
  • New Mexico State University
  • Midcontinent Independent Transmission System Operator (MISO)

Research output: Contribution to journalArticlepeer-review

31 Scopus citations

Abstract

Security constraint is a key component in unit commitment to guarantee reliable generator commitment. Large set of security constraints are notorious for making the problem difficult to solve. Constraint screening, i.e., filtering out non-dominating constraints, is regarded as a powerful tool to address this challenge. This work presents a security-constraint screening that can effectively integrate virtual transaction and capture changes online in real-time or look-ahead markets. The proposed approach takes advantage of both deterministic and statistical methods, which leverages mathematical modeling and historical data. Effectiveness are verified using Midcontinent Independent System Operator (MISO) data.

Original languageEnglish
Article number9269002
Pages (from-to)2614-2622
Number of pages9
JournalIEEE Transactions on Power Systems
Volume36
Issue number3
DOIs
StatePublished - May 2021
Externally publishedYes

Keywords

  • Data aided
  • security constraint
  • transmission congestion
  • unit commitment
  • virtual power

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