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On polynomial real-time control policies in stochastic AC optimal power flow
Publikationstyp
Journal Article
Date Issued
2020-12
Sprache
English
Author(s)
Journal
Volume
189
Article Number
106792
Citation
Electric Power Systems Research 189: 106792 (2020-12)
Publisher DOI
Scopus ID
Publisher
Elsevier
In traditional power system operations real-time control policies are based on simple control policies such as automatic generation control and/or local voltage control. Although these simple policies have worked well in the past, the increased variability associated with higher penetrations of renewable energy strengthens the case for more general approaches. In this paper we analyze the design of real-time control policies through the lens of stochastic AC-OPF. Using a chance-constrained approach in combination with a reformulation based on polynomial chaos expansion, we show that the solution corresponds to a general polynomial control policy. By restricting this general policy, we are able to recover the traditional (affine) control policies as a special case. This allows to quantify the value of implementing non-affine policies, and to analyze their impact on the system behavior, as demonstrated in the numerical example.
Subjects
Chance-constrained AC-OPF
Polynomial chaos expansion
Reserve activation
Uncertainties
DDC Class
620: Engineering