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A Modular AC Optimal Power Flow Implementation for Distribution Grid Planning


A. Hauswirth, T.H. Summers, J. Warrington, J. Lygeros

IEEE Powertech, Power System Technology, Eindhoven, NL, pp. 6

We present a computational tool for solving semidefinite relaxations of multi-period AC optimal power flow (OPF) problems. Chordal conversion techniques are used to exploit problem sparsity. Three features set it apart from similar implementations: First, a new, concise real-valued model exploits the problem structure and avoids introducing redundant constraints. Second, a dynamic choice of constraint type improves computation time for grids with extensive radial subgraphs. Third, a modular software design enables the easy integration of additional models for photovoltaic inverters, optimal storage placement, etc. Benchmark results indicate that our computational improvements significantly enhance performance compared to a standard implementation. This holds in particular for large-scale networks and power grids with large radial subgraphs. Finally, a case study showcases the potential of our modular OPF software design.


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% Autogenerated BibTeX entry
@InProceedings { HauEtal:2015:IFA_5020,
    author={A. Hauswirth and T.H. Summers and J. Warrington and J. Lygeros},
    title={{A Modular AC Optimal Power Flow Implementation for
	  Distribution Grid Planning}},
    booktitle={IEEE Powertech, Power System Technology},
    address={Eindhoven, NL},
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