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Stochastic Look-Ahead Commitment: A Case Study in MISO

Bernard Knueven(Bernard.Knueven***at***nrel.gov)
Mohammad Faqiry(MoFaqiry***at***misoenergy.org)
Manuel Joseph Garcia(mgarc19***at***sandia.gov)
Yonghong Chen(ychen***at***misoenergy.org)
Roger Treinen(rtreinen***at***nexant.com)
Trevor Werho(twerho***at***asu.edu)
Junshan Zhang(Junshan.Zhang***at***asu.edu)
Vijay Vittal(Vijay.Vittal***at***asu.edu)
Long Zhao(lzhao***at***misoenergy.org)
Anupam Thatte(athatte***at***misoenergy.org)
Shengfei Yin (gyin***at***mail.smu.edu)

Abstract: 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 two-stage stochastic unit commitment. The first stage optimal commitment 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.

Keywords: Stochastic Optimization, Unit Commitment, Uncertainty Management

Category 1: Applications -- OR and Management Sciences

Citation: Working paper 2021

Download: [PDF]

Entry Submitted: 10/28/2021
Entry Accepted: 10/28/2021
Entry Last Modified: 10/28/2021

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