Stochastic Look-Ahead Commitment: A Case Study in MISO: Preprint

Bernard Knueven, M. Faqiry, Manuel Garcia, Yonghong Chen, Roger Treinen, Trevor Werho, Junshan Zhang, Vijay Vittal, Long Zhao, Anupam Thatte, Shengfei Yin

Research output: Contribution to conferencePaper


This paper introduces the Stochastic Look Ahead Commitment (SLAC) software prototyped and tested for the Midcontinent Independent System Operator (MISO) look ahead commitment process. SLAC can incorporate hundreds of wind, load, and net scheduled interchange (NSI) uncertainty scenarios. It uses a progressive hedging method to solve a novel two-stage stochastic unit commitment. The first stage commitment decisions, made only for those generators whose decision to commit or not in each time period cannot be deferred, can cover the uncertainties within the next three hours. The second stage includes both the dispatch for each of the scenarios and the commitment decisions that can be deferred. Study results on 15 MISO production days show that SLAC may bring economic and reliability benefits under uncertainty.
Original languageAmerican English
Number of pages8
StatePublished - 2023
Event2023 IEEE Power & Energy Society General Meeting - Orlando, Florida
Duration: 16 Jul 202320 Jul 2023


Conference2023 IEEE Power & Energy Society General Meeting
CityOrlando, Florida

NREL Publication Number

  • NREL/CP-2C00-84539


  • stochastic optimization
  • uncertainty management
  • unit commitment


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