A comparison of the AC and DC power flow models for LMP calculations
By Thomas J. Overbye, Xu Cheng, Y. Sun. 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the, 2004
414 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/cd9b8f6a2cb0ed427de4ff25487575fb13935e8e
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In Electrical and Electronic Engineering
- Fangxing Li
- Rui Bo
- Carleton Coffrin
- Pascal Van Hentenryck
- Zuyi Li
- Yong Fu
- Shmuel S. Oren
- Chongqing Kang
Citations in the corpus
- Convex Relaxation of Optimal Power Flow—Part I: Formulations and Equivalence (2014, neutral): “[15], [16], [17], [18], [19].”
- Different models and properties on LMP calculations (2006, background): “Generally, the dc model is a lossless network model which does not consider system losses [ 4 ].”
- A Linearized OPF Model With Reactive Power and Voltage Magnitude: A Pathway to Improve the MW-Only DC OPF (2018, background): “For example, losses can be distributed to the loads based on an estimate of the total system losses [27].”
- A Linear-Programming Approximation of AC Power Flows (2012, methodology): “Under these assumptions, Equations (7) and (8) reduce to pnm = −bnm(θ◦n − θ◦m) (9) This simple linear formulation has been used in many frameworks for decision support in power systems [15], [18], [31], [41], [45], [46].”
- DCOPF-Based LMP simulation: algorithm, comparison with ACOPF, and sensitivity (2007, methodology): “This is consistent with the results reported in the earlier work [ 15 ].”
- Bound Tightening for the Alternating Current Optimal Power Flow Problem (2016, background): “For certain purposes linearization can perform adequately (see [1]–[3]).”
- DC Power Flow Revisited (2009, background): “Reference [ 17 ] investigated ac-versus-dc LMP calculations on realistically large (13 000 bus) systems.”
- DC Optimal Power Flow Formulation and Solution Using QuadProgJ (2006, background): “We have only been able to find one study of this issue (Overbye et al., 2004) that takes both quantity and price solutions into account.”