Published July 2020
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Worst-Case Sensitivity of DC Optimal Power Flow Problems
- Creators
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Anderson, James
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Zhou, Fengyu
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Low, Steven H.
Chicago
Abstract
In this paper we consider the problem of analyzing the effect a change in the load vector can have on the optimal power generation in a DC power flow model. The methodology is based upon the recently introduced concept of the OPF operator. It is shown that for general network topologies computing the worst-case sensitivities is computationally intractable. However, we show that certain problems involving the OPF operator can be equivalently converted to a graphical discrete optimization problem. Using the discrete formulation, we provide a decomposition algorithm that reduces the computational cost of computing the worst-case sensitivity. A 27-bus numerical example is used to illustrate our results.
Additional Information
© 2020 AACC. This work is funded by NSF grants CCF 1637598, ECCS 1619352, CNS 1545096, ARPA-E through grant DE-AR0000699 and the GRID DATA program, and DTRA through grant HDTRA 1-15-1-0003.Attached Files
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Additional details
- Eprint ID
- 104250
- Resolver ID
- CaltechAUTHORS:20200707-112527402
- NSF
- CCF-1637598
- NSF
- ECCS-1619352
- NSF
- CNS-1545096
- Advanced Research Projects Agency-Energy (ARPA-E)
- DE-AR0000699
- Defense Threat Reduction Agency (DTRA)
- HDTRA 1-15-1-0003
- Created
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2020-07-07Created from EPrint's datestamp field
- Updated
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2021-11-16Created from EPrint's last_modified field