Skip to main content
Log in

Tight MIP formulations for bounded up/down times and interval-dependent start-ups

  • Full Length Paper
  • Series A
  • Published:
Mathematical Programming Submit manuscript

Abstract

Switching machines on and off is an important aspect of unit commitment problems and production planning problems, among others. Here we study tight mixed integer programming formulations for two aspects of such problems: bounded length on- and off-intervals, and interval-dependent start-ups. The problem with both these aspects admits a general Dynamic Programming (shortest path) formulation which leads to a tight extended formulation with a number of binary variables that is quadratic in the number n of time periods. We are thus interested in tight formulations with a linear number of binary variables. For the bounded interval problem we present a tight network dual formulation based on new integer cumulative variables that allows us to simultaneously treat lower and upper bounds on the interval lengths and also to handle time-varying bounds. This in turn leads to more general results, including simpler proofs of known tight formulations for problems with just lower bounds. For the interval-dependent start-up problem we develop a path formulation that allows us to describe the convex hull of solutions in the space of machine state variables and interval-dependent start-up variables.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

Notes

  1. See also the overview of unit commitment models in [7, Section 2].

  2. Note that this definition of \(w_t\) differs by one period from that used in [16].

  3. The minimum down-times are denoted by \(\beta \) in Wolsey [20], while we use \(\gamma \) in the present paper.

References

  1. Conforti, M., Cornuéjols, G., Zambelli, G.: Integer Programming. Springer, New York (2014)

    Book  MATH  Google Scholar 

  2. Damcı-Kurt, P., Küçükyavuz, S., Rajan, D., Atamtürk, A.: A polyhedral study of ramping in unit commitment. Math. Program. Ser. A 158, 175–206 (2016)

    Article  MATH  Google Scholar 

  3. Frangioni, A., Gentile, C.: Solving nonlinear single-unit commitment problems with ramping constraints. Oper. Res. 54(4), 767–775 (2006)

    Article  MATH  Google Scholar 

  4. Frangioni, A., Gentile, C., Lacalandra, F.: Tighter approximated MILP formulations for unit commitment problems. IEEE Trans. Power Syst. 24, 105–113 (2009)

    Article  Google Scholar 

  5. Garver, L.L.: Power generation scheduling by integer programming–development of theory, power apparatus and systems. III Trans. Am. Inst. Electr. Eng. 81(3), 730–734 (1963)

    Google Scholar 

  6. Hedman, K.W., O’Neill, R.P., Oren, S.S.: Analyzing valid inequalities of the generation unit commitment problem. In: Power Systems Conference and Exposition, 2009 PSCE ’09. IEEE/PES, pp. 1–6 (2009)

  7. Knueven, B., Ostrowski, J., Wang, J.: Generating cuts from the ramping polytope for the unit commitment problem Department of Industrial and Systems Engineering University of Tennessee(2016)

  8. Lee, J., Leung, J., Margot, F.: Min-up/min-down polytopes. Discrete Optim. 1, 77–85 (2004)

    Article  MathSciNet  MATH  Google Scholar 

  9. Malkin, P.: Minimum runtime and stoptime polyhedra. In: Working Paper, Core, Université catholique de Louvain (2003)

  10. Martens, M., McCormick, S.T., Queyranne, M.: Separation, dimension, and facet algorithms for node flow polyhedra. Math. Program. Ser. B 24, 317–348 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  11. Morales-España, G., Gentile, C., Ramos, A.: Tight MIP formulations of the power-based unit commitment problem. OR Spectr. 37(4), 1–22 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  12. Morales-España, G., Latorre, J.M., Ramos, A.: Tight and compact MILP formulation for the thermal unit commitment problem. IEEE Trans. Power Syst. 28, 4897–4908 (2013)

    Article  Google Scholar 

  13. Nemhauser, G.L., Wolsey, L.A.: Integer and Combinatorial Optimization. Wiley, New York (1988)

    Book  MATH  Google Scholar 

  14. Ostrowski, J., Anjos, M.F., Vannelli, A.: Tight mixed integer linear programming formulations for the unit commitment problem. IEEE Trans. Power Syst. 1(27), 39–46 (2012)

    Article  Google Scholar 

  15. Pan, K., Guan, Y.: A Polyhedral Study of the Integrated Minimum-Up/Down Time and Ramping Polytope. http://www.optimization-online.org/DB_HTML/2015/08/5070.html (2015)

  16. Pochet, Y., Wolsey, L.A.: Production Planning by Mixed Integer Programming. Springer, New York (2006)

    MATH  Google Scholar 

  17. Queyranne, M., Wolsey, L.A.: Modeling poset convex subsets. In: Cologne-Twente Workshop, Istanbul (2015)

  18. Rajan, D., and Takriti, S.: Minimum up/down polytopes of the unit commitment problem with start-up costs. IBM Res. Rep. RC23628 (W0506-050), Thomas J. Watson Research Center, Yorktown Heights, NY (2005)

  19. Viana, A., Pedroso, J.P.: A new MILP-based approach for unit commitment in power production planning. Electr. Power Energy Syst. 44, 997–1005 (2013)

    Article  Google Scholar 

  20. Wolsey, L.A.: Integer Programming. Wiley, New York (1998)

    MATH  Google Scholar 

  21. Wu, L.: A tighter piecewise linear approximation of quadratic cost curves for unit commitment problems. IEEE Trans. Power Syst. 26, 2581–2583 (2011)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Laurence A. Wolsey.

Additional information

This research has been funded by the Interuniversity Attraction Poles Programme initiated by the Belgian Science Policy Office.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Queyranne, M., Wolsey, L.A. Tight MIP formulations for bounded up/down times and interval-dependent start-ups. Math. Program. 164, 129–155 (2017). https://doi.org/10.1007/s10107-016-1079-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10107-016-1079-2

Keywords

Mathematics Subject Classfication

Navigation