Convex Relaxation of Optimal Power Flow—Part II: Exactness

@article{Low2014ConvexRO,
  title={Convex Relaxation of Optimal Power Flow—Part II: Exactness},
  author={Steven H. Low},
  journal={IEEE Transactions on Control of Network Systems},
  year={2014},
  volume={1},
  pages={177-189}
}
This tutorial summarizes recent advances in the convex relaxation of the optimal power flow (OPF) problem, focusing on structural properties rather than algorithms. Part I presents two power flow models, formulates OPF and their relaxations in each model, and proves equivalence relations among them. Part II presents sufficient conditions under which the convex relaxations are exact. 
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Semidefinite relaxation for nonlinear optimization over graphs with application to power systems

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