Document Type

Article

Publication Version

Accepted Manuscript

Publication Date

9-2014

Journal or Book Title

Computational Management Science

DOI

10.1007/s10287-014-0220-z

Abstract

A two-stage stochastic program is formulated for day-ahead commitment of thermal generating units to minimize total expected cost considering uncertainties in the day-ahead load and the availability of variable generation resources. Commitments of thermal units in the stochastic reliability unit commitment are viewed as first-stage decisions, and dispatch is relegated to the second stage. It is challenging to solve such a stochastic program if many scenarios are incorporated. A heuristic scenario reduction method termed forward selection in recourse clusters (FSRC), which selects scenarios based on their cost and reliability impacts, is presented to alleviate the computational burden. In instances down-sampled from data for an Independent System Operator in the US, FSRC results in more reliable commitment schedules having similar costs, compared to those from a scenario reduction method based on probability metrics. Moreover, in a rolling horizon study, FSRC preserves solution quality even if the reduction is substantial.

Comments

This is a manuscript of an article from Computational Management Science (2014): The final publication is available at Springer via http://dx.doi.org/ 10.1007/s10287-014-0220-z. Posted with permission.

Copyright Owner

Springer-Verlag Berlin Heidelberg

Language

en

File Format

application/pdf

Published Version

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