Stochastic Look-Ahead Commitment: A Case Study in MISO

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

doi:10.1109/PESGM52003.2023.10253199

Stochastic Look-Ahead Commitment: A Case Study in MISO

Conference · Mon Sep 25 04:00:00 EDT 2023

DOI:https://doi.org/10.1109/PESGM52003.2023.10253199· OSTI ID:2229085

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

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.

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Research Organization:: National Renewable Energy Laboratory (NREL), Golden, CO (United States)

Sponsoring Organization:: USDOE Advanced Research Projects Agency - Energy (ARPA-E)

DOE Contract Number:: AC36-08GO28308

OSTI ID:: 2229085

Report Number(s):: NREL/CP-2C00-88230; MainId:89005; UUID:f8ccfc88-40cd-44d3-bfce-8b1cc0772886; MainAdminID:71241

Country of Publication:: United States

Language:: English

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