Gan, Lingwen and Li, Na and Low, Steven H. and Topcu, Ufuk (2013) Exact convex relaxation for optimal power flow in distribution networks. ACM SIGMETRICS Performance Evaluation Review, 41 (1). pp. 351-352. ISSN 0163-5999. doi:10.1145/2494232.2465535. https://resolver.caltech.edu/CaltechAUTHORS:20161025-153928779
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Abstract
The optimal power flow (OPF) problem seeks to control the power generation/consumption to minimize the generation cost, and is becoming important for distribution networks. OPF is nonconvex and a second-order cone programming (SOCP) relaxation has been proposed to solve it. We prove that after a "small" modification to OPF, the SOCP relaxation is exact under a "mild" condition. Empirical studies demonstrate that the modification to OPF is "small" and that the "mild" condition holds for all test networks, including the IEEE 13-bus test network and practical networks with high penetration of distributed generation.
| Item Type: | Article | |||||||||
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| Additional Information: | Copyright is held by the author/owner(s). | |||||||||
| Issue or Number: | 1 | |||||||||
| DOI: | 10.1145/2494232.2465535 | |||||||||
| Record Number: | CaltechAUTHORS:20161025-153928779 | |||||||||
| Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20161025-153928779 | |||||||||
| Official Citation: | Lingwen Gan, Na Li, Steven Low, and Ufuk Topcu. 2013. Exact convex relaxation for optimal power flow in distribution networks. SIGMETRICS Perform. Eval. Rev. 41, 1 (June 2013), 351-352. DOI: http://dx.doi.org/10.1145/2494232.2465535 | |||||||||
| Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | |||||||||
| ID Code: | 71474 | |||||||||
| Collection: | CaltechAUTHORS | |||||||||
| Deposited By: | Kristin Buxton | |||||||||
| Deposited On: | 25 Oct 2016 22:58 | |||||||||
| Last Modified: | 11 Nov 2021 04:45 |
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