Optimal Power Flow Using an Extended Conic Quadratic Formulation
By Rabih A. Jabr. IEEE Transactions on Power Systems, 2008
190 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/587002f829511b80ad654476dd4e79893f27945c
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In Control and Systems Engineering
- Brett Robbins
- Alejandro D. Domínguez-García
- Steven H. Low
- Hao Zhu
- Yujie Tang
- Qiuyu Peng
- Javad Lavaei
- Somayeh Sojoudi
In Electrical and Electronic Engineering
- Steven H. Low
- Brett Robbins
- Alejandro D. Domínguez-García
- Xu Andy Sun
- Santanu S. Dey
- Burak Kocuk
- Javad Lavaei
- Hao Zhu
Citations in the corpus
- Physics of power networks makes hard optimization problems easy to solve (2012, background): “In order to solve OPF more efficiently, different conic and convex relaxations have been proposed in the past decade [11], [12], [13].”
- A GA-API Solution for the Economic Dispatch of Generation in Power System Operation (2012, methodology): “Traditional approaches to solve the ED problem use deterministic methods based on Lagrange multipliers [1], linear programming [3], quadratic programming [4], or dynamic programming (DP) [5], [6].”
- Strong SOCP Relaxations for the Optimal Power Flow Problem (2015, background): “This issue can be fixed by directly imposing (3) as a constraint (Jabr 2007, 2008).”
- Optimal Tap Setting of Voltage Regulation Transformers in Unbalanced Distribution Systems (2016, methodology): “It is possible to extend the SDP-based OPF approach to include the tap ratios of TCUL transformers by introducing a virtual secondary-side bus per transformer, which in turn will result in additional constraints and decision variables [10]–[12].”
- New Formulation and Strong MISOCP Relaxations for AC Optimal Transmission Switching Problem (2015, background): “A variant of this formulation without (4i) was previously proposed in [33] and [34] for radial networks (also see [35]) while it was later adapted to general networks in [36], [37].”
- Zero Duality Gap in Optimal Power Flow Problem (2012, background): “Nonetheless, the results fail to hold for a meshed network, due to the presence of arctangent equality constraints [14].”
- Feeder Reconfiguration in Distribution Networks Based on Convex Relaxation of OPF (2015, methodology): “2In [23], SOCP relaxation is applied to a bus injection model.”