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Title: A polyhedral study of production ramping

Journal Article · · Mathematical Programming
 [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

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.

Research Organization:
Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA)
Grant/Contract Number:
AC52-07NA27344; 0970180
OSTI ID:
1455405
Report Number(s):
LLNL-JRNL-732987; 884544
Journal Information:
Mathematical Programming, Vol. 158, Issue 1-2; ISSN 0025-5610
Publisher:
SpringerCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 50 works
Citation information provided by
Web of Science

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Cited By (4)

Tight MIP formulations for bounded up/down times and interval-dependent start-ups journal October 2016
Lifted polymatroid inequalities for mean-risk optimization with indicator variables journal January 2019
Parallel matheuristics for the discrete unit commitment problem with min-stop ramping constraints journal May 2018
Lifted Polymatroid Inequalities for Mean-Risk Optimization with Indicator Variables preprint January 2017