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Title: A polyhedral study of production ramping

Abstract

Here, we give strong formulations of ramping constraints—used to model the maximum change in production level for a generator or machine from one time period to the next—and production limits. For the two-period case, we give a complete description of the convex hull of the feasible solutions. The two-period inequalities can be readily used to strengthen ramping formulations without the need for separation. For the general case, we define exponential classes of multi-period variable upper bound and multi-period ramping inequalities, and give conditions under which these inequalities define facets of ramping polyhedra. Finally, we present exact polynomial separation algorithms for the inequalities and report computational experiments on using them in a branch-and-cut algorithm to solve unit commitment problems in power generation.

Authors:
 [1];  [1];  [2];  [3]
  1. The Ohio State Univ., Columbus, OH (United States). Dept. of Integrated Systems Engineering
  2. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States). Center for Applied Scientific Computing
  3. Univ. of California, Berkeley, CA (United States). Dept. of Industrial Engineering and Operations Research
Publication Date:
Research Org.:
Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1455405
Report Number(s):
LLNL-JRNL-732987
Journal ID: ISSN 0025-5610; 884544
Grant/Contract Number:  
AC52-07NA27344; 0970180
Resource Type:
Accepted Manuscript
Journal Name:
Mathematical Programming
Additional Journal Information:
Journal Volume: 158; Journal Issue: 1-2; Journal ID: ISSN 0025-5610
Publisher:
Springer
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; Ramping; unit commitment; co-generation; production smoothing, convex hull; polytope; valid inequalities; facets; computation

Citation Formats

Damci-Kurt, Pelin, Kucukyavuz, Simge, Rajan, Deepak, and Atamturk, Alper. A polyhedral study of production ramping. United States: N. p., 2015. Web. doi:10.1007/s10107-015-0919-9.
Damci-Kurt, Pelin, Kucukyavuz, Simge, Rajan, Deepak, & Atamturk, Alper. A polyhedral study of production ramping. United States. https://doi.org/10.1007/s10107-015-0919-9
Damci-Kurt, Pelin, Kucukyavuz, Simge, Rajan, Deepak, and Atamturk, Alper. Fri . "A polyhedral study of production ramping". United States. https://doi.org/10.1007/s10107-015-0919-9. https://www.osti.gov/servlets/purl/1455405.
@article{osti_1455405,
title = {A polyhedral study of production ramping},
author = {Damci-Kurt, Pelin and Kucukyavuz, Simge and Rajan, Deepak and Atamturk, Alper},
abstractNote = {Here, we give strong formulations of ramping constraints—used to model the maximum change in production level for a generator or machine from one time period to the next—and production limits. For the two-period case, we give a complete description of the convex hull of the feasible solutions. The two-period inequalities can be readily used to strengthen ramping formulations without the need for separation. For the general case, we define exponential classes of multi-period variable upper bound and multi-period ramping inequalities, and give conditions under which these inequalities define facets of ramping polyhedra. Finally, we present exact polynomial separation algorithms for the inequalities and report computational experiments on using them in a branch-and-cut algorithm to solve unit commitment problems in power generation.},
doi = {10.1007/s10107-015-0919-9},
journal = {Mathematical Programming},
number = 1-2,
volume = 158,
place = {United States},
year = {Fri Jun 12 00:00:00 EDT 2015},
month = {Fri Jun 12 00:00:00 EDT 2015}
}

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Works referencing / citing this record:

Tight MIP formulations for bounded up/down times and interval-dependent start-ups
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Lifted polymatroid inequalities for mean-risk optimization with indicator variables
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