Tightening McCormick Relaxations Toward Global Solution of the ACOPF Problem
Abstract
Here, we show that a strong upper bound on the objective of the alternating current optimal power flow (ACOPF) problem can significantly improve the effectiveness of optimization-based bounds tightening (OBBT) on a number of relaxations. We additionally compare the performance of relaxations of the ACOPF problem, including the rectangular form without reference bus constraints, the rectangular form with reference bus constraints, and the polar form. We find that relaxations of the rectangular form significantly strengthen existing relaxations if reference bus constraints are included. Overall, relaxations of the polar form perform the best. However, neither the rectangular nor the polar form dominates the other. Ultimately, with these strategies, we are able to reduce the optimality gap to less than 0.1% on all but 5 NESTA test cases with up to 300 buses by performing OBBT alone.
- Authors:
-
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sandia National Lab. (SNL-CA), Livermore, CA (United States)
- Purdue Univ., West Lafayette, IN (United States); 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)
- OSTI Identifier:
- 1485848
- Alternate Identifier(s):
- OSTI ID: 1479492
- Report Number(s):
- SAND-2018-11431J; SAND-2018-3787J
Journal ID: ISSN 0885-8950; 669408
- Grant/Contract Number:
- AC04-94AL85000; NA0003525
- Resource Type:
- Accepted Manuscript
- Journal Name:
- IEEE Transactions on Power Systems
- Additional Journal Information:
- Journal Volume: 34; Journal Issue: 1; Journal ID: ISSN 0885-8950
- Publisher:
- IEEE
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 24 POWER TRANSMISSION AND DISTRIBUTION; ACOPF; bounds tightening; convex relaxation
Citation Formats
Bynum, Michael Lee, Castillo, Anya R., Watson, Jean-Paul, and Laird, Carl Damon. Tightening McCormick Relaxations Toward Global Solution of the ACOPF Problem. United States: N. p., 2018.
Web. doi:10.1109/TPWRS.2018.2877099.
Bynum, Michael Lee, Castillo, Anya R., Watson, Jean-Paul, & Laird, Carl Damon. Tightening McCormick Relaxations Toward Global Solution of the ACOPF Problem. United States. https://doi.org/10.1109/TPWRS.2018.2877099
Bynum, Michael Lee, Castillo, Anya R., Watson, Jean-Paul, and Laird, Carl Damon. Fri .
"Tightening McCormick Relaxations Toward Global Solution of the ACOPF Problem". United States. https://doi.org/10.1109/TPWRS.2018.2877099. https://www.osti.gov/servlets/purl/1485848.
@article{osti_1485848,
title = {Tightening McCormick Relaxations Toward Global Solution of the ACOPF Problem},
author = {Bynum, Michael Lee and Castillo, Anya R. and Watson, Jean-Paul and Laird, Carl Damon},
abstractNote = {Here, we show that a strong upper bound on the objective of the alternating current optimal power flow (ACOPF) problem can significantly improve the effectiveness of optimization-based bounds tightening (OBBT) on a number of relaxations. We additionally compare the performance of relaxations of the ACOPF problem, including the rectangular form without reference bus constraints, the rectangular form with reference bus constraints, and the polar form. We find that relaxations of the rectangular form significantly strengthen existing relaxations if reference bus constraints are included. Overall, relaxations of the polar form perform the best. However, neither the rectangular nor the polar form dominates the other. Ultimately, with these strategies, we are able to reduce the optimality gap to less than 0.1% on all but 5 NESTA test cases with up to 300 buses by performing OBBT alone.},
doi = {10.1109/TPWRS.2018.2877099},
journal = {IEEE Transactions on Power Systems},
number = 1,
volume = 34,
place = {United States},
year = {Fri Oct 19 00:00:00 EDT 2018},
month = {Fri Oct 19 00:00:00 EDT 2018}
}
Web of Science
Figures / Tables:
Works referencing / citing this record:
Evaluating demand response opportunities for power systems resilience using MILP and MINLP Formulations
journal, November 2018
- Bynum, Michael; Castillo, Anya; Watson, JeanāPaul
- AIChE Journal, Vol. 65, Issue 7