Huang, Wanjun and Pan, Xiang and Chen, Minghua and Low, Steven H. (2022) DeepOPF-V: Solving AC-OPF Problems Efficiently. IEEE Transactions on Power Systems, 37 (1). pp. 800-803. ISSN 0885-8950. doi:10.1109/TPWRS.2021.3114092. https://resolver.caltech.edu/CaltechAUTHORS:20210510-075001060
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Abstract
AC optimal power flow (AC-OPF) problems need to be solved more frequently in the future to maintain stable and economic power system operation. To tackle this challenge, a deep neural network-based voltage-constrained approach (DeepOPF-V) is proposed to solve AC-OPF problems with high computational efficiency. Its unique design predicts voltages of all buses and then uses them to reconstruct the remaining variables without solving non-linear AC power flow equations. A fast post-processing process is also developed to enforce the box constraints. The effectiveness of DeepOPF-V is validated by simulations on IEEE 118/300-bus systems and a 2000-bus test system. Compared with existing studies, DeepOPF-V achieves decent computation speedup up to four orders of magnitude and comparable performance in optimality gap, while preserving feasibility of the solution.
Item Type: | Article | ||||||||||
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Additional Information: | © 2021 IEEE. Manuscript receivedMarch 22, 2021; revised July 12, 2021; accepted September 7, 2021. Date of publication September 21, 2021; date of current version December 23, 2021. This work was supported in part by a Start-up Grant from the School of Data Science under Project 9380118, in part by the City University of Hong Kong, and in part by General Research Fund from Research Grants Council, Hong Kong, Project No. 11206821. Paper no. PESL-00064-2021. | ||||||||||
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Subject Keywords: | AC optimal power flow, deep neural network, voltage prediction | ||||||||||
Issue or Number: | 1 | ||||||||||
DOI: | 10.1109/TPWRS.2021.3114092 | ||||||||||
Record Number: | CaltechAUTHORS:20210510-075001060 | ||||||||||
Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20210510-075001060 | ||||||||||
Official Citation: | W. Huang, X. Pan, M. Chen and S. H. Low, "DeepOPF-V: Solving AC-OPF Problems Efficiently," in IEEE Transactions on Power Systems, vol. 37, no. 1, pp. 800-803, Jan. 2022, doi: 10.1109/TPWRS.2021.3114092 | ||||||||||
Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | ||||||||||
ID Code: | 109017 | ||||||||||
Collection: | CaltechAUTHORS | ||||||||||
Deposited By: | Tony Diaz | ||||||||||
Deposited On: | 10 May 2021 20:07 | ||||||||||
Last Modified: | 04 Jan 2022 20:40 |
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