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Title: Cutting planes for the multistage stochastic unit commitment problem

Abstract

As renewable energy penetration rates continue to increase in power systems worldwide, new challenges arise for system operators in both regulated and deregulated electricity markets to solve the security-constrained coal-fired unit commitment problem with intermittent generation (due to renewables) and uncertain load, in order to ensure system reliability and maintain cost effectiveness. In this paper, we study a security-constrained coal-fired stochastic unit commitment model, which we use to enhance the reliability unit commitment process for day-ahead power system operations. In our approach, we first develop a deterministic equivalent formulation for the problem, which leads to a large-scale mixed-integer linear program. Then, we verify that the turn on/off inequalities provide a convex hull representation of the minimum-up/down time polytope under the stochastic setting. Next, we develop several families of strong valid inequalities mainly through lifting schemes. In particular, by exploring sequence independent lifting and subadditive approximation lifting properties for the lifting schemes, we obtain strong valid inequalities for the ramping and general load balance polytopes. Finally, branch-and-cut algorithms are developed to employ these valid inequalities as cutting planes to solve the problem. As a result, our computational results verify the effectiveness of the proposed approach.

Authors:
 [1];  [2];  [3]
  1. Univ. of Michigan, Ann Arbor, MI (United States)
  2. Univ. of Florida, Gainesville, FL (United States)
  3. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA); USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
OSTI Identifier:
1062274
Alternate Identifier(s):
OSTI ID: 1332947
Report Number(s):
SAND-2012-9093J; SAND-2016-11112J
Journal ID: ISSN 0025-5610; PII: 971
Grant/Contract Number:  
AC04-94AL85000
Resource Type:
Accepted Manuscript
Journal Name:
Mathematical Programming
Additional Journal Information:
Journal Volume: 157; Journal Issue: 1; Journal ID: ISSN 0025-5610
Publisher:
Springer
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; 29 ENERGY PLANNING, POLICY, AND ECONOMY; security-constrained unit commitment; stochastic programming; cutting planes; sequence independent lifting; 96 KNOWLEDGE MANAGEMENT AND PRESERVATION

Citation Formats

Jiang, Ruiwei, Guan, Yongpei, and Watson, Jean -Paul. Cutting planes for the multistage stochastic unit commitment problem. United States: N. p., 2016. Web. doi:10.1007/s10107-015-0971-5.
Jiang, Ruiwei, Guan, Yongpei, & Watson, Jean -Paul. Cutting planes for the multistage stochastic unit commitment problem. United States. https://doi.org/10.1007/s10107-015-0971-5
Jiang, Ruiwei, Guan, Yongpei, and Watson, Jean -Paul. Wed . "Cutting planes for the multistage stochastic unit commitment problem". United States. https://doi.org/10.1007/s10107-015-0971-5. https://www.osti.gov/servlets/purl/1062274.
@article{osti_1062274,
title = {Cutting planes for the multistage stochastic unit commitment problem},
author = {Jiang, Ruiwei and Guan, Yongpei and Watson, Jean -Paul},
abstractNote = {As renewable energy penetration rates continue to increase in power systems worldwide, new challenges arise for system operators in both regulated and deregulated electricity markets to solve the security-constrained coal-fired unit commitment problem with intermittent generation (due to renewables) and uncertain load, in order to ensure system reliability and maintain cost effectiveness. In this paper, we study a security-constrained coal-fired stochastic unit commitment model, which we use to enhance the reliability unit commitment process for day-ahead power system operations. In our approach, we first develop a deterministic equivalent formulation for the problem, which leads to a large-scale mixed-integer linear program. Then, we verify that the turn on/off inequalities provide a convex hull representation of the minimum-up/down time polytope under the stochastic setting. Next, we develop several families of strong valid inequalities mainly through lifting schemes. In particular, by exploring sequence independent lifting and subadditive approximation lifting properties for the lifting schemes, we obtain strong valid inequalities for the ramping and general load balance polytopes. Finally, branch-and-cut algorithms are developed to employ these valid inequalities as cutting planes to solve the problem. As a result, our computational results verify the effectiveness of the proposed approach.},
doi = {10.1007/s10107-015-0971-5},
journal = {Mathematical Programming},
number = 1,
volume = 157,
place = {United States},
year = {Wed Apr 20 00:00:00 EDT 2016},
month = {Wed Apr 20 00:00:00 EDT 2016}
}

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Works referenced in this record:

A scenario decomposition algorithm for 0–1 stochastic programs
journal, November 2013


A finite branch-and-bound algorithm for two-stage stochastic integer programs
journal, June 2004

  • Ahmed, Shabbir; Tawarmalani, Mohit; Sahinidis, Nikolaos V.
  • Mathematical Programming, Vol. 100, Issue 2
  • DOI: 10.1007/s10107-003-0475-6

Wind Power Forecasting in U.S. Electricity Markets
journal, April 2010

  • Botterud, Audun; Wang, Jianhui; Miranda, Vladimiro
  • The Electricity Journal, Vol. 23, Issue 3
  • DOI: 10.1016/j.tej.2010.03.006

Dual decomposition in stochastic integer programming
journal, February 1999


Stochastic Power Generation Unit Commitment in Electricity Markets: A Novel Formulation and a Comparison of Solution Methods
journal, February 2009

  • Cerisola, Santiago; Baíllo, Álvaro; Fernández-López, José M.
  • Operations Research, Vol. 57, Issue 1
  • DOI: 10.1287/opre.1080.0593

A polyhedral study of production ramping
journal, June 2015

  • Damcı-Kurt, Pelin; Küçükyavuz, Simge; Rajan, Deepak
  • Mathematical Programming, Vol. 158, Issue 1-2
  • DOI: 10.1007/s10107-015-0919-9

A polyhedral study of the semi-continuous knapsack problem
journal, June 2012


Household response to dynamic pricing of electricity: a survey of 15 experiments
journal, August 2010


Decomposition algorithms with parametric Gomory cuts for two-stage stochastic integer programs
journal, November 2012

  • Gade, Dinakar; Küçükyavuz, Simge; Sen, Suvrajeet
  • Mathematical Programming, Vol. 144, Issue 1-2
  • DOI: 10.1007/s10107-012-0615-y

Sequence Independent Lifting in Mixed Integer Programming
journal, January 2000

  • Gu, Zonghao; Nemhauser, George L.; Savelsbergh, Martin W. P.
  • Journal of Combinatorial Optimization, Vol. 4, Issue 1, p. 109-129
  • DOI: 10.1023/A:1009841107478

An optimization-based method for unit commitment
journal, February 1992

  • Guan, X.; Luh, P. B.; Yan, H.
  • International Journal of Electrical Power & Energy Systems, Vol. 14, Issue 1
  • DOI: 10.1016/0142-0615(92)90003-R

Cutting Planes for Multistage Stochastic Integer Programs
journal, April 2009

  • Guan, Yongpei; Ahmed, Shabbir; Nemhauser, George L.
  • Operations Research, Vol. 57, Issue 2
  • DOI: 10.1287/opre.1080.0535

A branch-and-cut algorithm for the stochastic uncapacitated lot-sizing problem
journal, March 2005

  • Guan, Yongpei; Ahmed, Shabbir; Nemhauser, George L.
  • Mathematical Programming, Vol. 105, Issue 1
  • DOI: 10.1007/s10107-005-0572-9

The Value of Multistage Stochastic Programming in Capacity Planning Under Uncertainty
journal, August 2009


The complexity of cover inequality separation
journal, August 1998


An algorithm for the construction of convex hulls in simple integer recourse programming
journal, December 1996

  • Haneveld, Willem K. Klein; Stougie, Leen; van der Vlerk, Maarten H.
  • Annals of Operations Research, Vol. 64, Issue 1
  • DOI: 10.1007/BF02187641

The integer L-shaped method for stochastic integer programs with complete recourse
journal, April 1993


Progressive hedging and tabu search applied to mixed integer (0,1) multistage stochastic programming
journal, January 1996

  • L�kketangen, Arne; Woodruff, DavidL.
  • Journal of Heuristics, Vol. 2, Issue 2
  • DOI: 10.1007/BF00247208

Lifting, superadditivity, mixed integer rounding and single node flow sets revisited
journal, May 2007


Disjunctive Decomposition for Two-Stage Stochastic Mixed-Binary Programs with Random Recourse
journal, February 2010


Tight Mixed Integer Linear Programming Formulations for the Unit Commitment Problem
journal, February 2012

  • Ostrowski, James; Anjos, Miguel F.; Vannelli, Anthony
  • IEEE Transactions on Power Systems, Vol. 27, Issue 1
  • DOI: 10.1109/TPWRS.2011.2162008

Reserve Requirements for Wind Power Integration: A Scenario-Based Stochastic Programming Framework
journal, November 2011

  • Papavasiliou, A.; Oren, S. S.; O'Neill, R. P.
  • IEEE Transactions on Power Systems, Vol. 26, Issue 4
  • DOI: 10.1109/TPWRS.2011.2121095

Lifting inequalities: a framework for generating strong cuts for nonlinear programs
journal, May 2008


The C3 Theorem and a D2 Algorithm for Large Scale Stochastic Mixed-Integer Programming: Set Convexification
journal, April 2005


Decomposition with branch-and-cut approaches for two-stage stochastic mixed-integer programming
journal, July 2005


Unit commitment literature synopsis
journal, January 1994

  • Sheble, G. B.; Fahd, G. N.
  • IEEE Transactions on Power Systems, Vol. 9, Issue 1
  • DOI: 10.1109/59.317549

A stochastic model for the unit commitment problem
journal, January 1996

  • Takriti, S.; Birge, J. R.; Long, E.
  • IEEE Transactions on Power Systems, Vol. 11, Issue 3
  • DOI: 10.1109/59.535691

A transmission-constrained unit commitment method in power system scheduling
journal, January 1999


Security-Constrained Unit Commitment With Volatile Wind Power Generation
journal, August 2008


A Chance-Constrained Two-Stage Stochastic Program for Unit Commitment With Uncertain Wind Power Output
journal, February 2012

  • Wang, Qianfan; Guan, Yongpei; Wang, Jianhui
  • IEEE Transactions on Power Systems, Vol. 27, Issue 1
  • DOI: 10.1109/TPWRS.2011.2159522

Short-term generation scheduling with transmission and environmental constraints using an augmented Lagrangian relaxation
journal, January 1995

  • Wang, S. J.; Shahidehpour, S. M.; Kirschen, D. S.
  • IEEE Transactions on Power Systems, Vol. 10, Issue 3
  • DOI: 10.1109/59.466524

Reliability unit commitment in ERCOT
conference, January 2006


Valid Inequalities and Superadditivity for 0–1 Integer Programs
journal, February 1977


Stochastic Security-Constrained Unit Commitment
journal, May 2007

  • Wu, Lei; Shahidehpour, Mohammad; Li, Tao
  • IEEE Transactions on Power Systems, Vol. 22, Issue 2
  • DOI: 10.1109/TPWRS.2007.894843

Works referencing / citing this record:

Large-scale unit commitment under uncertainty: an updated literature survey
journal, September 2018

  • van Ackooij, W.; Danti Lopez, I.; Frangioni, A.
  • Annals of Operations Research, Vol. 271, Issue 1
  • DOI: 10.1007/s10479-018-3003-z

Modeling and Solution Techniques Used for Hydro Generation Scheduling
journal, July 2019

  • Parvez, Iram; Shen, JianJian; Khan, Mehran
  • Water, Vol. 11, Issue 7
  • DOI: 10.3390/w11071392