Conference paper
Data-driven Security-Constrained AC-OPF for Operations and Markets
Department of Electrical Engineering, Technical University of Denmark1
Center for Electric Power and Energy, Centers, Technical University of Denmark2
Energy Analytics and Markets, Center for Electric Power and Energy, Centers, Technical University of Denmark3
Electric Power Systems, Center for Electric Power and Energy, Centers, Technical University of Denmark4
In this paper, we propose a data-driven preventive security-constrained AC optimal power flow (SC-OPF), which ensures small-signal stability and N-1 security. Our approach can be used by both system and market operators for optimizing redispatch or AC based market-clearing auctions. We derive decision trees from large datasets of operating points, which capture all security requirements and allow to define tractable decision rules that are implemented in the SC-OPF using mixed-integer nonlinear programming (MINLP).
We propose a second-order cone relaxation for the non-convex MINLP, which allows us to translate the non-convex and possibly disjoint feasible space of secure system operation to a convex mixed-integer OPF formulation. Our case study shows that the proposed approach increases the feasible space represented in the SC-OPF compared to conventional methods, can identify the global optimum as opposed to tested MINLP solvers and significantly reduces computation time due to a decreased problem size.
Language: | English |
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Publisher: | IEEE |
Year: | 2018 |
Pages: | 1-7 |
Proceedings: | 20th Power Systems Computation Conference |
ISBN: | 1538615835 , 1910963097 , 1910963100 , 9781538615836 , 9781910963098 and 9781910963104 |
Types: | Conference paper |
DOI: | 10.23919/PSCC.2018.8442786 |
ORCIDs: | Halilbasic, Lejla , Thams, Florian , Venzke, Andreas , Chatzivasileiadis, Spyros and Pinson, Pierre |
Convex relaxation Mxed-integer non-linear programming Security-constrained OPF Small-signal stability
AC based market-clearing auctions Databases Decision trees Feature extraction Power system stability SC-OPF Security Stability criteria convex mixed-integer OPF formulation convex relaxation data-driven preventive security-constrained AC-OPF decision trees integer programming load flow mixed-integer non-linear programming mixed-integer nonlinear programming nonconvex MINLP nonlinear programming optimal power flow power markets power system security second-order cone relaxation secure system operation small-signal stability tractable decision rules