Robust Distribution Network Reconfiguration
Abstract
We propose a two-stage robust optimization model for the distribution network reconfiguration problem with load uncertainty. The first-stage decision is to configure the radial distribution network and the second-stage decision is to find the optimal a/c power flow of the reconfigured network for given demand realization. We solve the two-stage robust model by using a column-and-constraint generation algorithm, where the master problem and subproblem are formulated as mixed-integer second-order cone programs. Computational results for 16, 33, 70, and 94-bus test cases are reported. We find that the configuration from the robust model does not compromise much the power loss under the nominal load scenario compared to the configuration from the deterministic model, yet it provides the reliability of the distribution system for all scenarios in the uncertainty set.
- Authors:
- Publication Date:
- Research Org.:
- Argonne National Lab. (ANL), Argonne, IL (United States)
- Sponsoring Org.:
- USDOE Office of Electricity Delivery and Energy Reliability
- OSTI Identifier:
- 1392577
- DOE Contract Number:
- AC02-06CH11357
- Resource Type:
- Journal Article
- Journal Name:
- IEEE Transactions on Smart Grid
- Additional Journal Information:
- Journal Volume: 6; Journal Issue: 2; Journal ID: ISSN 1949-3053
- Publisher:
- IEEE
- Country of Publication:
- United States
- Language:
- English
- Subject:
- distribution network; minimum loss; mixed-integer second-order cone pro- gram (MISOCP); reconfiguration; robust optimization
Citation Formats
Lee, Changhyeok, Liu, Cong, Mehrotra, Sanjay, and Bie, Zhaohong. Robust Distribution Network Reconfiguration. United States: N. p., 2015.
Web. doi:10.1109/TSG.2014.2375160.
Lee, Changhyeok, Liu, Cong, Mehrotra, Sanjay, & Bie, Zhaohong. Robust Distribution Network Reconfiguration. United States. https://doi.org/10.1109/TSG.2014.2375160
Lee, Changhyeok, Liu, Cong, Mehrotra, Sanjay, and Bie, Zhaohong. 2015.
"Robust Distribution Network Reconfiguration". United States. https://doi.org/10.1109/TSG.2014.2375160.
@article{osti_1392577,
title = {Robust Distribution Network Reconfiguration},
author = {Lee, Changhyeok and Liu, Cong and Mehrotra, Sanjay and Bie, Zhaohong},
abstractNote = {We propose a two-stage robust optimization model for the distribution network reconfiguration problem with load uncertainty. The first-stage decision is to configure the radial distribution network and the second-stage decision is to find the optimal a/c power flow of the reconfigured network for given demand realization. We solve the two-stage robust model by using a column-and-constraint generation algorithm, where the master problem and subproblem are formulated as mixed-integer second-order cone programs. Computational results for 16, 33, 70, and 94-bus test cases are reported. We find that the configuration from the robust model does not compromise much the power loss under the nominal load scenario compared to the configuration from the deterministic model, yet it provides the reliability of the distribution system for all scenarios in the uncertainty set.},
doi = {10.1109/TSG.2014.2375160},
url = {https://www.osti.gov/biblio/1392577},
journal = {IEEE Transactions on Smart Grid},
issn = {1949-3053},
number = 2,
volume = 6,
place = {United States},
year = {Sun Mar 01 00:00:00 EST 2015},
month = {Sun Mar 01 00:00:00 EST 2015}
}
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