Tightening McCormick Relaxations Toward Global Solution of the ACOPF Problem
We demonstrate 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...
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Veröffentlicht in: | IEEE transactions on power systems 2019-01, Vol.34 (1), p.814-817 |
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Sprache: | eng |
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Zusammenfassung: | We demonstrate 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. |
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ISSN: | 0885-8950 1558-0679 |
DOI: | 10.1109/TPWRS.2018.2877099 |