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ROBUST OPTIMIZATION FOR AC-DC POWER FLOW BASED ON SECOND-ORDER CONE PROGRAMMING
KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems.
2017 (English)In: The Journal of Engineering, ISSN 1872-3284, E-ISSN 2051-3305Article in journal (Refereed) Published
Abstract [en]

This paper presents an adjustable robust optimization method for AC-DC optimal power flow (OPF) considering the uncertainty of renewable energy source (RESs). The optimal power flow of AC-DC system is modeled as a second-order cone (SOC) problem, and the affinely adjustable robust OPF (AAROPF) formulation is proposed. To apply AAROPF, the base-point generation is calculated and determined to match the power with forecasted RES output before the realization of the uncertainty. And once the uncertainty is revealed, generators reschedule its output through participation factors responding to the uncertain fluctuation of RES output to ensure a feasible solution for all realizations of RES output within a prescribed uncertainty set. Numerical results are obtained on a modified AC-DC IEEE 30-bus to minimize the expected operational cost. Results reveal a higher cost using AAROPF than the deterministic case, but it obtains a more robust solution with higher successful rates.

Place, publisher, year, edition, pages
2017.
Keywords [en]
AC-DC optimal power flow, second-order cone programming, affinely adjustable robust optimization
National Category
Civil Engineering
Identifiers
URN: urn:nbn:se:kth:diva-220279ISI: 000416266500064OAI: oai:DiVA.org:kth-220279DiVA, id: diva2:1171733
Note

QC 20180108

Available from: 2018-01-08 Created: 2018-01-08 Last updated: 2018-01-08Bibliographically approved

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