Adaptive ADMM for Distributed AC Optimal Power Flow

In light of the soaring uptake of distributed energy resources, distributed methods are attracting increased focus. This paper proposes an adaptive scheme to improve the convergence of the alternating direction of multipliers method (ADMM) on the component-based dual decomposition of the AC optimal...

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Bibliographic Details
Published in:IEEE transactions on power systems 2019-05, Vol.34 (3), p.2025-2035
Main Authors: Mhanna, Sleiman, Verbic, Gregor, Chapman, Archie C.
Format: Article
Language:English
Subjects:
accelerated ADMM
Acceleration
Adaptive ADMM
Adaptive systems
Convergence
Convex functions
Cost function
Curvature
Distributed generation
distributed OPF
Electric power distribution
Energy sources
Generators
Mathematical analysis
Parameters
Power flow
Power transmission lines
residual balancing
two-point step size
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Summary:In light of the soaring uptake of distributed energy resources, distributed methods are attracting increased focus. This paper proposes an adaptive scheme to improve the convergence of the alternating direction of multipliers method (ADMM) on the component-based dual decomposition of the AC optimal power flow (OPF). The method incorporates a local curvature approximation scheme, with underlying parameter update steps inspired by the local residual balancing scheme, to automatically tune the penalty parameters locally, without central oversight. Substantial speed-ups over the vanilla ADMM, as high as 10.6 times, are demonstrated on real-world test systems with more than 13\,600 buses, as well as on other difficult test cases. Furthermore, scalability is assessed by showing that, unlike in the centralized computation, the distributed implementation of the proposed adaptive method is independent of system size.
ISSN:0885-8950
1558-0679
DOI:10.1109/TPWRS.2018.2886344