A Data-aided Security Constraint Prescreening Technique and Application to Real-world System

  • Shubo Zhang
  • , Hongxing Ye
  • , Fengyu Wang
  • , Yonghong Chen
  • , Stephen Rose
  • , Yaming Ma

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Scopus citations

Abstract

Security constraints are necessary in unit commitment problems to guarantee reliable commitments. However, only a small subset of security constraints can bind in the unit commitment problem. This paper presents a data-aided prescreening approach that could identify and remove non-dominating security constraints. This approach takes advantage of both deterministic and statistical methods, which leverages the historical data and linear programming (LP) solution. Lazy constraints are used in optimization solver to maintain solution integrity. Case studies presented here use Midcontinent Independent System Operator (MISO) data, and simulation results show that the proposed prescreening approach significantly improves computational performance.

Original languageEnglish
Title of host publication51st North American Power Symposium, NAPS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728104072
DOIs
StatePublished - Oct 2019
Externally publishedYes
Event51st North American Power Symposium, NAPS 2019 - Wichita, United States
Duration: 13 Oct 201915 Oct 2019

Publication series

Name51st North American Power Symposium, NAPS 2019

Conference

Conference51st North American Power Symposium, NAPS 2019
Country/TerritoryUnited States
CityWichita
Period13/10/1915/10/19

Keywords

  • Lazy Constraint
  • Optimal Power Flow
  • Security Constraint
  • Transmission Congestion
  • Unit Commitment

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