Advanced SVC models for Newton-Raphson load flow and Newton optimal power flow studies

By H. Ambriz‐Pérez, Enrique Acha, Claudio R. Fuerte-Esquivel. 2000

325 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/0152ee71b3aeeeccb545087a57ab85d88ee267d4

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Taher Niknam
2. Suttichai Premrudeepreechacharn
3. C. Rakpenthai
4. S. Uatrongjit

In Electrical and Electronic Engineering

1. Taher Niknam
2. Suttichai Premrudeepreechacharn
3. C. Rakpenthai
4. S. Uatrongjit
5. Arpan Kumar Kar
6. Babak Amiri

Citations in the corpus

• A modified shuffle frog leaping algorithm for multi-objective optimal power flow (2011, background): “A literature survey reveals that various numerical optimization techniques have been used for the OPF problem, such as non-linear programming (NLP) [3], linear programming (LP) [4e6], Newton methods [7,8] (which minimizes a quadratic approximation of the Lagrangian function, but this”
• Power system with multi-type FACTS devices states estimation based on predictor-corrector interior point algorithm (2009, background): “SVC can be considered as the combination of a capacitor and a thyristor controlled reactor [12,13].”